Explore 2 java python developer jobs from 2 hiring companies in Sandwich, NH, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Java Python Developer Jobs

GN Store Nord

University System of New Hampshire

Hybrid

Onsite

Usnh

The Center for Coastal and Ocean Mapping (CCOM) at the University of New Hampshire invites applications for a Research Engineer to support software development and data management systems. The successful candidate will work in conjunction with Center Principal Investigators and data managers to design, develop, test, and deploy software systems and cloud-computing tools. They will work closely with the Center’s faculty, scientists, and information technologists to transition research and development to operations.<div>Duties/ResponsibilitiesResearch and Development (50%)<ul><li>Apply best software engineering practices (e.g., version control, comprehensive documentation, automated testing, continuous integration) to research codes so that they may be reliably used to fulfill the Center’s research mission.</li><li>Direct new software projects in conjunction with Center researchers or as directed by Center management, including management, software engineering systems, testing methods, and associated communications mechanisms</li><li>Investigate options for algorithms, coding languages, development frameworks, and APIs both locally and in the cloud, to advise Center researchers on their development project options and trade-oﬀs.</li></ul>Information Technology Development (30%)<ul><li>Under the direction of the Systems Manager, provide customized support for IT or other groups with respect to development, automation, etc.</li><li>Prepare and review documentation for the Center’s consumption and in performing related duties as assigned.</li></ul>End-User Support (10%)<ul><li>Respond to clients’ information technology requests assigned by the responsible support team.</li></ul><h2>Skill Development (10%)</h2><ul><li>Use available resources to maintain and improve skills in areas of technical support related to assigned duties. When available, attend training as needed</li></ul>Minimum Acceptable Education &amp; Experience:<ul><li>Bachelor’s and two years of experience, Associates degree and four years of experience, High School diploma and six years of experience, preferably CS, IT, or a related field, or combination of education and experience equal to six years.</li><li>Training or professional experience providing technical support.</li><li>Programming experience.</li><li>Eﬀective oral and written communication skills.</li></ul>Required Knowledge, Skills &amp; Abilities:<ul><li>Independent, analytical, and detail-oriented programming skills, with the ability to develop, maintain, and make available project documentation for technical requirements, algorithm interfaces, API definitions, etc.</li><li>Collaborative communication, including working with faculty, clients, interdisciplinary teams, and external partners.</li><li>Clear written communication &amp; standards-focused project execution, producing technical guidance, prototype tools, and standards-informed recommendations.</li><li>Independent judgement and initiative, including setting priorities, managing multiple workloads, and carrying responsibilities through to completion.</li></ul>Preferred Qualifications:<ul><li>Experience supporting technical or academic programs in a marine environment.</li><li>Experience with development in Python, Java, Django, databases (e.g., SQL, NoSQL, RDBMS or embedded databases), JavaScript, or other web technologies.</li><li>Related information technology certifications.</li><li>Experience with cloud computing including the use of infrastructure as code tools.</li><li>Experience with shell scripting (e.g., bash, zsh, PowerShell, etc.). Experience with automated testing (unit test, functional and end-to-end testing, code coverage).</li><li>Familiarity with continuous integration tools (e.g., GitHub Actions).</li></ul>Applicant Instructions: Applicants should be prepared to upload the following documents when applying online within the My Experience: Resume/CV section of the application: (Maximum of 5 Documents)<ul><li>Resume/CV</li><li>Cover Letter</li></ul>Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.Please be advised that this position is supported by external sponsor funding. As such, continued employment in this role is contingent upon the availability of those external funds. If, for any reason, the sponsor funding is reduced or discontinued, employment may be subject to modification or termination in accordance with applicable policies and procedures. </div>The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast and is convenient to New Hampshire’s lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.EEO StatementThe University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.Compensation Pay Range:$54,990.00 - $98,150.00The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: <a target="_blank" href="https://nam12.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.usnh.edu%2Fhuman-resources%2Fusnh-employee-benefits&amp;data&#61;05%7C02%7CMaryEllen.Reisch%40usnh.edu%7C6887db12a3ff49bcb54608de164ea56f%7Cd6241893512d46dc8d2bbe47e25f5666%7C0%7C0%7C638972724237289067%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;5Z%2F4deRSzJ9q47qEmiWwu7kezH0W%2F7HB3g1fsIsQZGI%3D&amp;reserved&#61;0">USNH Employee Benefits | Human Resources</a> Location:Durham

Research Project Engineer II

Bachelor’s degree with 2+ years of experience or equivalent combination; programming experience; strong communication skills; ability to develop and document software systems.

Machine Learning Engineer - Cloud*Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell, MA.Turn up the volume on your career as Cloud AI/ML EngineerGN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhances the senses of hearing and sight.We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.The team you will be part ofYou will be joining our team focused on developing the Jabra Perform and BlueParrott product lines, aimed at improving tools for frontline workers.As part of the team, you will design and deliver machine learning models and cloud-based systems that power and enhance frontline worker devices. You will train, fine-tune, and optimize models for production grade performance, contributing to scalable and reliable ML services. You will help build and maintain the team’s end-to-end workflows: Developing data pipelines, generating datasets, creating evaluation frameworks, and implementing backend services that support our devices and applications. In this role, you will collaborate across disciplines to shape new features and bring impactful products to market.Your contribution is appreciated, and you will <ul><li>Design, build, and train scalable machine learning models and algorithms for cloud-based environments.</li><li>Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement.</li><li>Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale.</li><li>Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure.</li><li>Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices.</li><li>Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation.</li><li>Build strong collaborative relationships with technical subject matter‑ experts, stakeholders, and leadership across the organization.</li><li>Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery.</li></ul>Sounds good so far? To thrive in this role, we envision that you bring<ul><li>2&#43; years of experience in deploying and optimizing ML models in a production environment using cloud platforms like AWS, GCP, or Azure.</li><li>Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) with practical experience in designing and implementing ML models.</li><li>Proficiency in programming languages such as Python, R, Java, or C&#43;&#43; for developing and optimizing machine learning algorithms.</li><li>Familiarity with big data technologies and distributed computing frameworks for handling and processing large datasets.</li><li>Fundamentals of audio and speech signal processing.</li></ul>Pay Transparency Notice  <ul><li>Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00.  In addition, you may be eligible for a discretionary bonus. </li><li>Compensation for roles at GN depends on a wide array of factors including but not limited to location, role, skill set, and level of experience. </li><li>To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays.</li></ul>We encourage you to applyEven if you do not match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We greatly appreciate a mindset and motivation that aligns with our core values, helping both you and your team to thrive within the GN organization.We are focused on an inclusive recruitment processAll applicants will receive equal consideration for employment.Disability AccommodationIf you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail <a href="mailto:careers.us&#64;gn.com" target="_blank">careers.us&#64;gn.com</a>. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.Join us in bringing people closer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.GN Store Nord A/S has entered into a definitive agreement for the sale of GN’s Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement <a href="https://www.gn.com/Newsroom/Announcement?id&#61;3256006&amp;lang&#61;en&amp;date&#61;20260316&amp;title&#61;GN-Store-Nord-A-S-enters-into-agreement-to-sell-its-Hearing-business-to-Amplifon-S-p-A-for-DKK-17-0-billion" target="_blank">here</a>. We hope you will join us on this journey and look forward to receiving your application. #LI-GNGroup

Machine Learning Engineer - Cloud

Machine Learning Engineer

Design, build, and deploy scalable ML models in cloud; data preprocessing; production deployment; Python; cloud platforms; ML frameworks; audio/speech familiarity.

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