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<h3>Job Description</h3>
Job Description
The Maintenance Engineer is responsible for the general maintenance of the property and to provide after-hour support as needed. For this position, associate MUST be available on weekends and holidays and be on call as needed. Mid Shifts &amp; PM shift required. Can be on call if needed. Please note, this position is part-time.
ESSENTIAL DUTIES AND RESPONSIBILITIES
 Guest Service
<ul>
<li>Maintains guest service as the driving philosophy of the operation</li>
<li>Picking up and Dropping off Laundry for Hotel LBI</li>
<li>Personally, demonstrates a commitment to guest service in responding promptly to guests’ needs</li>
<li>Committed to making every guest is satisfied</li>
<li>Meets or exceeds guest satisfaction measures</li>
<li>Ensures hotel standards and services contribute to the delivery of consistent guest service</li>
<li>Implements and practices guest service initiatives and performs to Hotel LBI &amp; Gulph Creek Hotel Standards</li>
</ul>
 Maintenance Duties
<ul>
<li>Perform maintenance and repair work on the interior and exterior of buildings, hotel rooms and contents, laundry and kitchen/refrigeration equipment, lighting, heating/air conditioning ventilation, and water treatment systems.</li>
<li>Ensure that the rooms and property are maintained in the best possible condition, with the least inconvenience to guests.</li>
<li>Clean and maintain swimming pool in a safe and sanitary manner (if applicable)</li>
<li>Check and preform preventative maintenance on pumps, chlorinators, and filters for swimming pool (if applicable)</li>
<li>Provide on-call support for urgent requests after hours, on weekends, holidays, etc.</li>
<li>Perform preventive maintenance as outlined in the Preventative Maintenance Program, per brand standard</li>
<li>Report emergencies or threats to the security of guests, employees or hotel assets.</li>
<li>Report any hazardous situations, malfunctioning to external signs or unlit areas.</li>
<li>Install, adjust, modify and repair building systems and assess the conditions of all effective operations.</li>
<li>Test safety systems, e.g. emergency lighting and record keeping and assist with periodic inspection of all safety systems.</li>
<li>Ensure that room maintenance requests are handled in a prompt and courteous manner.</li>
<li>Follow up on all alarms immediately to determine the exact location and cause. Determine emergency status and repair projects.</li>
<li>Perform inspections on a regular basis of working orders and checks adjusts repairs and monitor the building system. </li>
<li>Comply at all times with Gulph Creek standards and regulations to encourage safe and efficient hotel operations.</li>
<li>Maintain regular attendance in compliance with Gulph Creek Standards, as required by scheduling, which will vary according to the needs of the hotel. </li>
<li>Maintain high standards of personal appearance and grooming, which include wearing the proper uniform and nametag when working. </li>
<li>Other duties as required</li>
</ul>
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and/or EXPERIENCE
<ul>
<li>High School diploma or equivalent required.</li>
<li>2 years’ experience in general building maintenance and/or construction, or an equivalent combination of education and experience. </li>
<li>Advanced vocational training preferred</li>
<li>May be required to work nights, weekends, and/or holidays. </li>
<li>Must have good communication and customer service skills. </li>
</ul>
LANGUAGE AND MATHEMATICAL SKILLS
<ul>
<li>Ability to read and speak English/Spanish and comprehend simple instructions, short correspondence, and memos </li>
<li>Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees</li>
<li>Ability to effectively communicate with employees, guests and supervisors for optimum operation of the property</li>
<li>Ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rates, ratio, and percent and to draw and interpret bar graphs</li>
<li>Demonstrated engineering skills </li>
</ul>
REASONING ABILITY
Demonstrate the ability to anticipate and solve practical problems or resolve issues.
CERTIFICATES, LICENSES, REGISTRATIONS
<ul>
<li>Refrigeration, electrical, plumbing skills, boiler operation and maintenance skills, water treatment and chiller operation knowledge. </li>
<li>Must have a valid driver’s license.</li>
</ul>
Tools &amp; Equipment:
Hand and power tools, electrical test equipment, refrigeration equipment, plumbing equipment, welding equipment, audio-visual equipment, pipe cutting equipment, telephone, office equipment, calculator, computer/computerized monitoring systems.
PHYSICAL DEMANDS/ WORK ENVIRONMENT: 
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
<ul>
<li>Individuals may need to sit, stand, and bend as needed for an extended period of time </li>
<li>Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials</li>
<li>Proper lifting techniques required</li>
<li>Heavy work- Exerting up to 100 pounds of force occasionally, and/or 100-200 pounds of force frequently and/or up to 20 pounds of force constantly to lift, carry, push, pull, or otherwise move objects. Frequently handling objects and equipment to maintain the facility</li>
</ul>
The performance of this position may occasionally require exposure to the manufacturing areas where certain areas require the use of personal protective equipment such as safety glasses with side shields and mandatory hearing protection. Primary environment: ambient room temperatures, lighting and traditional office equipment as found in a typical office environment.

Engineer

<h3>Job Description</h3>
Job Description
At E Tech Group, joining our team means joining a group of passionate and forward-thinking experts. We're one of the largest engineering and system integration firms in the United States providing value for our clients through IT automation and control solutions for more than 30 years to the Life Sciences, Mission Critical, Metals &amp; Mining, Warehousing &amp; Distribution, and CPG/Food &amp; Beverage industries. Our national and global scale allows us to help our clients develop and implement standardized solutions at any of their facilities regardless of physical location or the local resources available at that site. 
We are seeking an Senior Ignition Engineer with expertise in Inductive Automation Ignition to lead the design, development, and deployment of SCADA, IIoT, and industrial automation solutions. Responsibilities include implementation, testing and startup of technical solutions created by yourself or others. You will work closely with cross-functional teams, integrating industrial systems, and ensuring high-performance, scalable, and secure automation applications.
You will:
<ul>
<li>Design, develop, and implement Ignition-based SCADA and IIoT solutions for industrial automation projects.</li>
<li>Be the technical lead for Ignition architecture, including Gateway configuration, Perspective, Vision, and SQL databases.</li>
<li>Design and configure PLC/SCADA networks</li>
<li>Work cooperatively with engineering, design, production, and field service staff</li>
<li>Aware of Project budget and schedules for the purpose of recognizing and communicating issues to PMs before becoming a conflict</li>
<li>Develop overall system architecture for industrial control projects</li>
<li>Specify and configure various hardware components such as, instrumentation, PLCs, communication systems and industrial control panels</li>
<li>Perform functional testing of electrical and control systems</li>
<li>Mentor and train engineers, providing technical guidance and Ignition best practices.</li>
<li>Coordinate start-up activities within ETG, any contractors and owner personnel</li>
<li>Develop and Lead training classes internally and externally</li>
<li>Create tools, methods and approaches to increase engineering efficiency</li>
<li>Assist Business development team to evaluate and promote opportunities with predesigns, estimates, and in person presentations</li>
<li>Be an ambassador who embodies our Core Values, prioritizing the success of E Tech Group, our clients, and the professional development of our associates. </li>
</ul>
You have:
<ul>
<li>Bachelor's Degree in Engineering or equivalent experience.</li>
<li>10+ years of experience in the control system industry. </li>
<li>5+ years of hands-on experience with Inductive Automation Ignition (Perspective, Vision, SQL, Tag Historian, Scripting).</li>
<li>Extensive knowledge of advanced Ignition concepts, including system architecture, scripting, and integration best practices.</li>
<li>Strong development skills in Jython, SQL, and JavaScript for building robust and scalable solutions.</li>
<li>Familiarity with UI/UX principles to design intuitive and user-friendly interfaces.</li>
<li>Strong understanding of controls systems.</li>
<li>Ability to develop PLC and HMI programs within one or more languages</li>
<li>Experience commissioning in "live" environments. </li>
<li>Current Gold certified in Ignition</li>
<li>A DNA comprised of collaboration and teamwork. </li>
</ul>
You may have:
Experience with GMP and GDP or working on projects or in facilities regulated by the FDA.
Benefits &amp; Perks:
<ul>
<li>401k + match + prompt enrollment.  E Tech Group employees are 100% vested upon entry. </li>
<li>Prompt enrollment into Medical, Dental, and Vision benefits. </li>
<li>Generous paid time off that includes paid vacation, paid holidays, paid family leave and sick time off. </li>
<li>Learning and growth are key parts of the E Tech culture. We provide you with training and continuing education from day one, so you can advance your career. As an E Tech associate, you can unlock your greatest potential through challenges and opportunities. </li>
</ul>
E Tech Group is an Equal Opportunity Employer. Applicants are considered for employment without regard to race, color, religion, sex, age, disability, military status, genetic information, gender identity, sexual orientation, citizenship status, or any other basis prohibited by law. E Tech Group will provide reasonable accommodations to qualified individuals with disabilities and for religious beliefs. E Tech Group is an Affirmative Action Employer of individuals with disabilities and protected veterans.

Senior Ignition Engineer

<h3>Job Description</h3>
Job DescriptionOur Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.Responsibilities
<ul>
<li>Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time</li>
<li>Build multi-modal foundation models for on-vehicle and offline applications</li>
<li>Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems</li>
<li>Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field</li>
<li>Provide technical mentorship to the broader group of ML developers at Zoox </li>
<li>Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments</li>
</ul>
Qualifications
<ul>
<li>BS, MS, or PhD degree in computer science or related field</li>
<li>Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li>
<li>Experience with modern computer vision techniques</li>
<li>Strong mathematical skills and understanding of probabilistic techniques</li>
<li>Fluency in C++ or Fluency in Python with a basic understanding of C++</li>
<li>Extensive experience with programming and algorithm design-Strong mathematics skills</li>
</ul>
Bonus Qualifications
<ul>
<li>Publications in your field (CVPR, ICCV, RSS, ICRA preferred)</li>
<li>Experience with autonomous robots</li>
<li>Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)</li>
<li>Experience with novel pipelines and architectures for convolutional neural nets&nbsp;</li>
<li>Experience with 3D data and representations (pointclouds, meshes, etc.)</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Staff Machine Learning Engineer - Perception

<h3>Job Description</h3>
Job Description
Position Overview
We are seeking a highly skilled and motivated NPI Engineer to join our Littleton engineering team. The ideal candidate will be responsible for managing new product introduction (NPI) activities for both security systems and medical equipment integration projects. This role requires a deep understanding of hardware integration, manufacturing process control, and compliance with industry standards including AS9100 and ISO 9000.
Key Responsibilities
• Lead the end-to-end NPI process, from design validation to production readiness.
• Collaborate with design engineering, quality, and production teams to ensure seamless transition from prototype to volume manufacturing.
Develop comprehensive work instructions, assembly procedures, and test documentation for:
• Mechanical and electromechanical assemblies
• Software configuration and operating system implementation
• Firmware, BIOS, and IPMI setup processes
• Manage product configuration, BOM creation, work instructions, and documentation within the PLM system.
• Ensure all processes comply with AS9100 (Aerospace) and ISO 9000 quality standards.
• Support client engineering teams on technical discussions, product qualification, and design for manufacturability (DFM) improvements.
• Identify risks and propose engineering solutions during POC and pilot phases.
• Participate in ECO/MCO processes, ensuring traceability and controlled implementation.
• Provide training and technical support to production and test engineering staff.
Required Qualifications
• B.Sc. in Electrical, Mechanical, or Computer Engineering (or equivalent experience).
• 3+ years of experience in NPI, manufacturing engineering, or hardware integration.
• Strong familiarity with AS9100 and/or ISO 13485 quality systems.
• Experience with PLM and ERP systems.
• Proven ability to interpret and apply engineering documentation, BOMs, and schematics.
• Hands-on understanding of assembly, testing, and configuration of complex electronic systems.
• Excellent problem-solving and communication skills.
• Ability to work cross-functionally with global teams.
Preferred Qualifications
• Experience in security, medical, or industrial computing industries.
• Familiarity with Monday.com, Ansible-based automation, or test automation frameworks.
• Exposure to regulatory compliance and traceability documentation in controlled industries.
• Knowledge of IPC standards and electromechanical integration.
Company DescriptionHIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines. 
<h3>Company Description</h3>
HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines.

NPI Engineer (Computer-based systems)

<h3>Job Description</h3>
Job Description
Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?
Learn more about our unique culture and history.
Job Opportunity: 
BHSI is seeking an analytical and technically minded, passionate Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&amp;A) team. CAT E&amp;A is an innovative and versatile technical team conducting catastrophe risk evaluations, developing independent solutions and models, and providing quantitative insured loss metrics that inform underwriting decisions.
The successful candidate will join the team responsible for conducting research and developing solutions for catastrophe risk assessment and should have strong research and development experience with catastrophe models or other risk assessment tools. Primary duties will involve research and development of internal views for hurricane wind risks. Contributions include undertaking wind and other perils risk evaluation using vendor models and internal models, assisting with individual underwriting decisions, and performing risk accumulation analyses. 
We welcome applicants at both the Engineer and Senior Engineer levels. Title and responsibilities will be commensurate with experience, education, and qualifications. The role can be based in our San Ramon, CA, Boston, MA, or Atlanta, GA office.

Duties &amp; Responsibilities:
<ul>
<li>Conduct research on wind vulnerability of buildings and other structures for the development of internal catastrophe models.</li>
<li>Conduct global wind risk evaluation using vendor models and internal models.</li>
<li>Explain wind risk modeling concepts and results to underwriters to inform risk underwriting decisions.</li>
<li>Conduct periodic training for underwriters.</li>
<li>Work with our team to incorporate BHSI’s view of risk into catastrophe modeling tools and platform.</li>
<li>Contribute to all aspects of natural catastrophe analytics.</li>
</ul>

Qualifications, Skills and Experience:
<ul>
<li>PhD degree in Civil or Wind Engineering, or related discipline</li>
<li>Strong understanding of wind engineering and design of buildings and other structures for wind. Previous catastrophe modeling and wind vulnerability assessment experience is a plus</li>
<li>Knowledge of probability and statistics.</li>
<li>Strong programming skills (e.g., R, Python, MATLAB, SQL)</li>
<li>Proficiency in geospatial analytics</li>
<li>Strong written and verbal communication skills</li>
<li>Highly motivated, detail oriented, and team player</li>
</ul>

BHSI Offers:
<ul>
<li>A competitive package and exciting growth opportunities for career-oriented teammates.</li>
<li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li>
<li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li>
<li>Benefits that support your life and well-being, which include:</li>
</ul>
<ul>
<li>
<ul>
<li>Comprehensive Health, Dental and Vision benefits</li>
<li>Disability Insurance (both short-term and long-term)</li>
<li>Life Insurance (for you and your family)</li>
<li>Accidental Death &amp; Dismemberment Insurance (for you and your family)</li>
<li>Flexible Spending Accounts</li>
<li>Health Reimbursement Account</li>
<li>Employee Assistance Program</li>
<li>Retirement Savings 401(k) Plan with Company Match</li>
<li>Generous holiday and Paid Time Off</li>
<li>Tuition Reimbursement</li>
<li>Paid Parental Leave</li>
</ul>
</li>
</ul>
The base salary range for this position is $110,000 to $150,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Wind Risk Engineer

<h3>Job Description</h3>
Job DescriptionWHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device–grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.RESPONSIBILITIES:
<ul>
<li>Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers.</li>
<li>Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance.</li>
<li>Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency.</li>
<li>Collaborate with researchers and product teams to align model development with health insights and member impact.</li>
<li>Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.</li>
</ul>
QUALIFICATIONS:
<ul>
<li>Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred.</li>
<li>5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems.</li>
<li>Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred).</li>
<li>Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines.</li>
<li>Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code.</li>
<li>Strong communication skills to collaborate across engineering, research, and product teams.</li>
<li>Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)</li>
<li>Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems.</li>
<li>Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems.</li>
<li>Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale.</li>
</ul>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in&nbsp;E-verify&nbsp;to determine employment eligibility.&nbsp; It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.&nbsp; In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about&nbsp;WHOOP.

Senior Machine Learning Engineer (Health)

<h3>Job Description</h3>
Job Description
Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a DDI Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately.
Duration: Full-time
Location: Merrimack, NH or Westlake, TX (Hybrid - 2 weeks Onsite, 2 weeks Remote in a month)
Salary: $130,000/Annually
Role: DDI Engineer
Primary Skills: DNS
Role Description: The DDI Engineer must have 5+ years of experience.
The Skills You Bring:
- 3–5 years of experience supporting network and DDI (DNS, DHCP, IPAM) infrastructure
- Hands-on experience with BIND, Infoblox, or other DDI solutions
- Strong ability to troubleshoot DNS and DHCP issues
- Experience managing and deploying cloud-based infrastructure
- Familiarity with observability tools for monitoring server environments
- Proficiency in Python, Ansible, or Shell scripting
- Working knowledge of Red Hat Enterprise Linux
Responsibilities:
- Communicate clearly and effectively, whether you're collaborating with teammates or presenting technical concepts to non-technical audiences.
- Take the initiative to identify and resolve issues before they impact service
- Ability to work independently or as part of a team.
- Attention to detail helps you spot anomalies in DNS configurations and logs that others might miss.
- Bring a structured approach to problem-solving and can explain your thought process to others.
- Adaptable and open to learning new tools and technologies to improve infrastructure reliability and performance.
- Understand the importance of documentation and knowledge sharing to support team success.
The Value You Deliver:
- Supporting and maintaining critical DNS and DHCP infrastructure to ensure reliable name resolution and IP address management across enterprise environments
- Coordinating with internal teams to implement changes, troubleshoot issues, and optimize performance of DDI systems
- Monitoring and analyzing DNS metrics, traffic, and logs to proactively identify and mitigate potential service disruptions
- Integrating observability tools to enhance visibility into system health and performance, enabling faster incident response and root cause analysis
- Collaborating with cloud and network engineering teams to align DNS architecture with evolving hybrid and multi-cloud strategies
Education: Bachelor’s degree
Experience: Minimum 5+ years of experience
Relocation: This position will not cover relocation expenses
Travel: No
Local Preferred: Yes
Note: Must be able to work on a W2 basis (No C2C)
Recruiter Name: Himanshu Dhar
Recruiter Phone: 484.383.7196
Benefits:
This is a direct hire position, and the hired applicant will receive our client’s benefits package.
Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DDI Engineer

<h3>Job Description</h3>
Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a highly skilled Senior ML Platform Engineer to join our ML Platform team. This role is pivotal in scaling our ML infrastructure and enabling the efficient deployment and monitoring of machine learning models across cloud environments. As a senior contributor, you will act as a force multiplier—building robust abstractions, platforms, and tooling to supercharge our Data Science and AI teams. You will design and implement scalable systems that operationalize machine learning at WHOOP with speed, reliability, and precision. Your work will directly support our use of AI to enhance team efficiency, automate decision-making, and personalize member experiences.RESPONSIBILITIES:
<ul>
<li>Architect, build, own, and operate&nbsp;scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility.</li>
<li>Create, support, and maintain&nbsp;core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability.</li>
<li>Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale.</li>
<li>Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability.</li>
<li>Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to&nbsp;operationalize and support&nbsp;model development, deployment, and monitoring workflows.</li>
<li>Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members.</li>
<li>Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms.</li>
<li>Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles.</li>
<li>Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation.</li>
<li>Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale.</li>
</ul>
QUALIFICATIONS:
<ul>
<li>Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field; or equivalent practical experience.</li>
<li>5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps.</li>
<li>Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs.</li>
<li>Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation).</li>
<li>Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks.</li>
<li>Proficiency in ML lifecycle tools (MLflow, Weights &amp; Biases, BentoML) and containerization strategies (Docker, Kubernetes).</li>
<li>Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems.</li>
<li>Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment.</li>
<li>Passion for AI and automation to solve real-world problems and improve operational workflows.</li>
</ul>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in&nbsp;E-verify&nbsp;to determine employment eligibility.&nbsp; It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.&nbsp;In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Senior ML Platform Engineer

<h3>Job Description</h3>
Job Description
SUMMARY:
Reporting directly to the VP of Engineering, the R&amp;D Engineer is responsible for the coordination and completion of projects leading to new product development and new chemical processes/methods to improve company market share or production efficiencies.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
<ul>
<li>Performs inspections and sets testing models for analysis of raw materials, materials in process, and finished products.</li>
<li>Researches new material types that align with GCS core competencies and maintains a competitive edge in core industries.</li>
<li>Acts as a technical resource to recommend existing GCS materials, or develop new materials, to meet current/prospective customer needs.</li>
<li>Works in cross-functional teams to perform root cause analysis for production issues.</li>
<li>Recommends/performs engineering trials to improve current processes or create new ones.</li>
<li>Acts as Subject Matter Expert (SME) for material handling/hazard protocols.</li>
<li>Generates material technical data sheets for internal and external use.</li>
<li>Executes material testing and analyzes test results.</li>
<li>Participates in continuous improvement projects.</li>
<li>Supports the introduction, application and continued use of Statistical Process Controls (SPC) for Manufacturing.</li>
<li>Performs other duties as assigned. </li>
</ul>
 
<ul>
<li>Ability to design and execute lab and pilot scale experiments.</li>
<li>Above average observation and assessment skills.</li>
<li>Working knowledge of Design of Experiments. Willingness to learn statistical software (i.e. Minitab) for the use of DOE and the analysis of data.</li>
</ul>
<ul>
<li>Familiarity with analytical chemistry instrumentation.</li>
</ul>
<ul>
<li>Computer skills including Microsoft Word, Excel, and PowerPoint.</li>
<li>Ability to follow and provide written and verbal instructions.</li>
<li>Ability to recognize the cause of inconsistent or unexpected analytical results.</li>
<li>Must be self-motivated and able to work independently and within a team.</li>
<li>Excellent written and verbal communication skills and interpersonal skills.</li>
<li>Excellent mathematical ability.</li>
<li>Must possess basic knowledge of statistics.</li>
<li>Ability and enthusiasm for learning.</li>
</ul>
EDUCATION AND EXPERIENCE: 
<ul>
<li>Bachelor's Degree in Chemistry, Engineering or related field.</li>
<li>Experience in urethane and rubber technology desired </li>
</ul>

PHYSICAL DEMANDS: 
<ul>
<li>Prolonged periods of sitting at a desk and working on a computer.</li>
<li>Frequently moving about to accomplish tasks.</li>
<li>Constantly communicating with others to exchange information.</li>
<li>Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.</li>
<li>Must be able to wear PPE as necessary (safety glasses, hearing protection, steel toe shoes, etc.).</li>
<li>Ability to lift 50 lbs.</li>
</ul>

WORK ENVIRONMENT:
Majority of work is performed in a typical office or laboratory environment with no major sources of discomfort. Essentially a normal controlled working environment with noise levels within acceptable safety limits and acceptable lighting and temperature conditions. 
WORK AUTHORIZATION/SECURITY CLEARANCE:
<ul>
<li>U.S. Government Security Clearance at the appropriate level</li>
</ul>
To conform to U.S. Government export control regulations and the Naval Nuclear Propulsion Information restrictions, applicant must be a U.S citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorization from the U.S. Department of State or Department of Commerce.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.
Duties, responsibilities, and activities may change at any time.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GLOBE COMPOSITE SOLUTIONS IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER THAT VALUES THE STRENGTH DIVERSITY BRINGS TO THE WORKPLACE. APPLICANTS ARE CONSIDERED ON THE BASIS OF SKILLS, EXPERIENCE, AND QUALIFICATIONS WITHOUT REGARD TO RACE, COLOR, RELIGION CREED, SEX, SEXUAL ORIENTATION, AGE, NATIONAL ORIGIN, ANCESTRY, MARITAL STATUS, PHYSICAL AND MENTAL DISABILITY, PROTECTED VETERAN STATUS, MEDICAL CONDITION, GENETIC INFORMATION OR CHARACTERISTICS, GENDER AND GENDER IDENTITY, OR ANY OTHER LEGALLY PROTECTED STATUS, AND FOR INQUIRING ABOUT, DISCUSSING OR DISCLOSING COMPENSATION.

Research and Development Engineer

<h3>Job Description</h3>
Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit <a href="http://www.shield.ai" target="_blank">www.shield.ai</a>. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.&nbsp; This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.&nbsp; Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do:
<ul>
<li>Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.</li>
<li>Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.</li>
<li>Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.</li>
<li>Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.</li>
<li>Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.</li>
<li>Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.</li>
<li>Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.</li>
<li>Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.</li>
<li>Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.</li>
<li>Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
Required Qualifications:
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>
<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.</li>
<li>Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.</li>
<li>Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.</li>
<li>Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.</li>
<li>Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.</li>
<li>Proficiency with version control, debugging, and test-driven development in cross-functional teams.</li>
<li>Ability to obtain a SECRET clearance.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Hands-on integration or algorithm development with airborne sensing systems.</li>
<li>Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.</li>
<li>Experience deploying perception software on SWaP-constrained platforms.</li>
<li>Familiarity with validating perception systems during flight test events or operational environments.</li>
<li>Understanding of sensing challenges in denied or degraded conditions.</li>
<li>Exposure to perception applications across air, maritime, and ground platforms.</li>
</ul>
#LI-ED1#LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to&nbsp;equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.&nbsp;
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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