field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

city

state

Zoning Enforcement Coordinator The Franklin Regional Council of Governments (FRCOG) seeks a full-time Zoning Enforcement Coordinator to assist and advise the Franklin County Cooperative Inspection Program Building Commissioner in all areas of zoning review and enforcement, and to provide professional administrative work, among other related tasks. FRCOG aims to foster a vibrant, sustainable region, while leveraging resources that promote collaboration and efficiency within our member communities. We provide advocacy, planning, and cooperative services — proactively and in direct response to our members’ needs. Employees have unique strengths, experiences, and backgrounds, and all share a passion for that mission. The right person for this job possesses excellent customer service, admin, and computer skills; has experience reading, researching and understanding state and federal zoning laws and town bylaws; and can address multiple priorities as they evolve, using professional judgment. The ideal candidate has an associate’s degree in administrative, business, public management or related field; a minimum of 2 yrs experience in the zoning, planning or building field; and 3 yrs of clerical/admin experience — or any equivalent combination of education and experience. Familiarity with municipal government operations, zoning laws, and regulations, and experience dealing directly with the public strongly preferred. The pay range for this salaried position is $27.57 to $37.40 p/hr. Excellent benefits and paid time off. Find the job description at frcog.org. If this sounds like your kind of work, please apply, even if your experience doesn’t match 100% of the job described above. Contact <a href="mailto:bdean@frcog.org" target="_blank">bdean@frcog.org</a> with questions. To apply, email cover letter and resume to <a href="mailto:admin@frcog.org" target="_blank">admin@frcog.org</a>, or mail to: Zoning Enforcement Search, FRCOG, 12 Olive Street, Greenfield, MA 01301-3351. Applications accepted until position is filled. AA/EOE

Zoning Administrator

INDUSTRIAL ENGINEER North Country Smokehouse, Claremont, NH-Analyze/optimize workflows for efficiency/productivity/quality. Design/develop production layouts/processes to up productivity. Review/modify/implement process improvements. Design/implement scalable Management Operating System connecting KPIs to operational execution. Estimate cost savings &amp; effects of production process changes on expenditures. Manage end-to-end project delivery. Build engineering grade tools/calculators/dashboards to automate processes &amp; support data-driven decisions. Design control systems using Power BI/R/Python/internal data systems. Support engineering/Capex/automation initiatives through planning/vendor coordination/tech evaluation. Train staff &amp; provide instructions/manuals on new processes. Manage process docs &amp; prep production reports. Analyze stat data/product specs, Use AutoCAD/Advanced Excel/ PDCA tech/ Continuous &amp; Process Improvement. Reqs: Bachelors Industrial Engineering &amp; 2 yrs exp as above or as a Systems Engineer w/similar duties. Must know all tech listed above. Resumes to: pamela.bennett @ncsmokehouse.com.

INDUSTRIAL ENGINEER

<h3>Job Description</h3>
Summary 
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Our Technicians deliver TV and Smart Home solutions to millions of customers. As a technician, we will train you to lead the charge for a world-class customer experience, educating and connecting more Americans with every home you visit. You’re the backbone of our organization and ensure an excellent customer experience. Our dedication to customer experience has paid off, as DISH is a six-time J.D. Power award winner for being #1 in Customer Satisfaction.
 Job Duties and Responsibilities 
What You’ll Do:
You’ll visit customers’ homes, solve problems, and introduce them to smart home tech.&nbsp;
<ul>
<li>Install and service DISH equipment and smart home products in customers’ homes</li>
<li>Teach customers how to use their tech and offer additional services when helpful</li>
<li>Keep a clean work area and maintain a professional attitude while working independently but staying connected with the team </li>
</ul>
What’s in it for You:
<ul>
<li>Career Growth: Start here and grow fast! Many of our leaders began in this role, with opportunities to move into different departments for new challenges</li>
<li>Pay Increases: Automatic promotion after 6 months with a $1/hour raise. Additional promotions with 5–10% pay increases based on performance</li>
<li>Bonus Potential: Earn up to $6,400 your first year, and up to $9,100 annually after. High performers also receive AwardPerqs—redeemable for travel, electronics, and more</li>
<li>Comprehensive Benefits: Paid training, time off,&nbsp; Medical, Dental, Vision, Life Insurance packages, HSA, 401(K) with company match, Employee Stock Purchasing Program and Tuition Reimbursement</li>
<li>Exclusive Perks: Complimentary DISH TV ($114.99/month), discounts on Sling TV ($5/month), and Boost Mobile plans (starting at $15/month), company-provided van, tools, and uniforms</li>
</ul>
Paid Training You’ll Get:
<ul>
<li>Clear, step-by-step guidance for installations and service</li>
<li>Smart home tech knowledge to support and educate customers</li>
<li>Best practices created by our most experienced techs </li>
</ul>
 Skills, Experience and Requirements What You’ll Need:
<ul>
<li>Valid Driver’s License: Clean record required</li>
<li>Schedule Flexibility: Willingness to travel as needed; flexible to work shifts that might include evenings, weekends, or holidays</li>
<li>Physical Ability:</li>
<ul>
<li>Climb ladders (up to 40 ft)</li>
<li>Lift up to 70 lbs</li>
<li>Must meet and maintain 335 lb weight limit</li>
</ul>
<li>Customer Focus: Build trust and create a great experience</li>
<li>Problem-Solving: Tackle a variety of challenges on the spot</li>
<li>Determination: Work in tight spaces and all kinds of weather</li>
<li>Adaptability: Handle changes and unexpected tasks with ease</li>
</ul>
Benefits:
From versatile health perks to new career opportunities, check out our benefits on our careers website.
Employment is contingent on successful completion of a pre-employment screen, to include a drug test and an acceptable driving record. Compensation listed may reflect a combination of hourly pay rate and location pay differential.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment 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. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make&nbsp;echostar.com&nbsp;and&nbsp;jobs.echostar.com&nbsp;accessible to users. Please contact&nbsp;<a href="mailto:leaves@dish.com" target="_blank">leaves@dish.com</a>&nbsp;if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements:&nbsp;EEO Policy Statement,&nbsp;Pay Transparency, EEOC Know Your Rights (English/Spanish)
 Salary Ranges Compensation: $25.25/Hour

Field Technician - Paid Training Provided

<h3>Job Description</h3>
Lead Machine Learning Engineer (Intelligent Foundations &amp; Experiences)
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.&nbsp;
What you’ll do in the role:&nbsp;
<ul>
<li>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
</li>
<li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.&nbsp;
</li>
<li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
</li>
<li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.&nbsp;
</li>
<li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.&nbsp;
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
</li>
<li>
Construct optimized data pipelines to feed ML models.&nbsp;
</li>
<li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.&nbsp;
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.&nbsp;
</li>
<li>
Use programming languages like Python, Scala, or Java.&nbsp;
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s degree&nbsp;
</li>
<li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Scala, or Java
</li>
<li>
At least 2 years of experience building, scaling, and optimizing ML systems
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
</li>
<li>
3+ years of experience building production-ready data pipelines that feed ML models&nbsp;
</li>
<li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow&nbsp;
</li>
<li>
2+ years of experience developing performant, resilient, and maintainable code
</li>
<li>
2+ years of experience with data gathering and preparation for ML models
</li>
<li>
2+ years of people leader experience
</li>
<li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation&nbsp;
</li>
<li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
</li>
<li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance&nbsp;
</li>
<li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents&nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer
 &nbsp;
Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Intelligent Foundations & Experiences)

Field Technician

Field Technician - Entry Level

<h3>Job Description</h3>
Lead Machine Learning Engineer - ML/AI
At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers.
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks &amp; automatically detect issues before they impact our customers, our business, or our communities.
In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.
You will:
<ul>
<li>
Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
</li>
<li>
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
</li>
<li>
Fine-tune, develop and evaluate machine learning and foundation models,&nbsp;
</li>
<li>
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
</li>
<li>
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies.
</li>
<li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
</li>
<li>
Retrain, maintain, and monitor models in production.
</li>
<li>
Construct optimized data pipelines to feed ML models.
</li>
<li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
</li>
<li>
You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences.
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
</li>
<li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production
</li>
</ul>
Strategic &amp; Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value.
Highly Collaborative &amp; Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team.
Technically Mature &amp; Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions.
Flexible &amp; Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities.
A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact.
Basic Qualifications:
<ul>
<li>
Bachelor's degree
</li>
<li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
</li>
<li>
At least 4 years of experience programming with Python, Go, Scala, or Java
</li>
<li>
At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
</li>
<li>
6 years of experience designing, developing, delivering, and supporting AI services at scale
</li>
<li>
3 years of experience developing AI and ML algorithms or technologies using Python
</li>
<li>
2 years of experience with Retrieval Augmented Generation (RAG)
</li>
<li>
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
</li>
<li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
</li>
</ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer)
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer
 &nbsp;
New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer
 &nbsp;
Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the&nbsp;Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer - ML/AI

<h3>Job Description</h3>
Job Description
Field Service Technician/ Desktop Support
<ul>
<li>Must have printer/plotter experience</li>
<li>Maintains, analyzes, troubleshoots, and repairs computer systems, hardware and computer peripherals.</li>
<li>Responsible for performing on-site servicing and repair of major OEM laptops, desktops, POS, and printers.</li>
<li>Familiarity of POS (Point of Sales) systems for Retail stores (Windows based registers)</li>
<li>Break/Fix at component level– Desktops; Laptops; printers</li>
<li>Documents, maintains, upgrades or replaces hardware and software systems.</li>
<li>Imaging and image recovery</li>
<li>Provides technical support in activities associated with the identification, prioritization and resolution of reported problems.</li>
<li>Install / Re-install various software packages and updates</li>
<li>Activities include recognition, research, isolation, resolution, and follow-up.</li>
<li>Must have a clean driving record – No open tickets or warrants – No major violations</li>
<li>Must have an active driver’s license</li>
<li>MUST HAVE OWN VEHICLE – Mileage/Parking/Tolls are reimburse</li>
</ul>
Company DescriptionWe are committed to delivering exceptional services and professionals with proven work ethics and processes. Provide an exceptional client experience Deliver on our commitments Build trust by thinking and acting with integrity Create an environment that inspires innovation 
<h3>Company Description</h3>
We are committed to delivering exceptional services and professionals with proven work ethics and processes.\r\nProvide an exceptional client experience\r\nDeliver on our commitments\r\nBuild trust by thinking and acting with integrity\r\nCreate an environment that inspires innovation

IT Field Service Technician (Printer/Experience) - CC

<h3>Job Description</h3>
Job Description
At DIGI we are always Searching for a New Balance.
Our vision is to create new standards.
Using original technology we create new standards for the market - and when these new standards become commonplace, we break with convention and take on the challenge of creating the next standard. We are continually striving to create a new balance.
Responsibilities:
<ul>
<li>Calibrate, perform preventative maintenance, service, and repair equipment on site at customer’s location.</li>
<li>Meet or exceed customer service level agreements</li>
<li>Provide L1/L2 phone support for DIGI service</li>
<li>Perform site surveys prior to installation</li>
<li>Perform installation of equipment</li>
<li>Maintain all documentation as required</li>
<li>Maintain service vehicle and parts inventory</li>
<li>On-call rotation is required to support customer base</li>
<li>Stand, squatting, kneeling in varies environments for long periods of time</li>
<li>Driving long distances between customer locations</li>
<li>Travel will be required with the possibility of 10% of the time including overnight.</li>
<li>All other duties as assigned</li>
</ul>
Qualifications:
<ul>
<li>Associate’s degree or equivalent experience preferred</li>
<li>Prior experience in field service preferred</li>
<li>Valid driver’s license and clean driving record</li>
<li>Basic understanding of electrical and mechanical principles</li>
<li>Good analytical skills for troubleshooting and diagnostics</li>
<li>Ability to become Weights and Measures certified within 6 months of hire</li>
</ul>
Company DescriptionDIGI America is a leader in innovative solutions for food retail and industrial markets. We pride ourselves on delivering cutting-edge technology, exceptional service, and a collaborative work environment that drives success for our customers and employees alike. 
<h3>Company Description</h3>
DIGI America is a leader in innovative solutions for food retail and industrial markets. We pride ourselves on delivering cutting-edge technology, exceptional service, and a collaborative work environment that drives success for our customers and employees alike.

1,046 Engineering Jobs