6+ years in backend software engineering and distributed systems
Proficient in Java (Spring Boot, Spring MVC, Hibernate) and Python
Hands-on experience with production ML models (PyTorch or equivalent)
Experience with distributed systems and streaming technologies (Apache Kafka, Apache Spark)
Solid understanding of microservices architecture and REST/SOAP APIs
Familiarity with AWS or equivalent cloud platforms
Responsibilities
Design and implement scalable backend services and microservices for data-intensive applications
Build and deploy production ML models from feature engineering to monitoring
Develop and maintain event-driven distributed pipelines using Apache Kafka and Spark
Architect systems integrating ML models with rule-based decision engines
Collaborate to translate complex requirements into engineering solutions
Contribute to AI/LLM-driven workflows and orchestration systems
Benefits
On-site work environment in Manchester, NH
Opportunity to work on impactful, real-world applications
Engagement with cutting-edge technologies in machine learning and distributed systems
Collaborative team culture across engineering, data, and product teams
Full Job Description
We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference - this is your opportunity, and it starts with the software you design and deliver at DEKA.
This role is on-site at DEKA in Manchester, NH. Relocation is not available, local candidates only.
How You Will Make an Impact:
Design and implement scalable backend services and microservices powering data-intensive, real-world applications
Build and deploy production ML models across the full lifecycle from feature engineering and training through evaluation, deployment, and monitoring
Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies
Architect systems that integrate ML models with rule-based decision engines for automated, real-time decisioning
Collaborate across disciplines to translate complex requirements into reliable, elegant engineering solutions
Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what software can do
Required Experience/Knowledge:
M.S. in Computer Science, AI, or a related field
6+ years in backend software engineering and distributed systems
Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python
Hands-on experience building and deploying production ML models (PyTorch or equivalent)
Experience with distributed systems and streaming technologies: Apache Kafka, Apache Spark, ZooKeeper
Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design
Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB)
Familiarity with AWS or equivalent cloud platforms
Strong problem-solving skills
Intrinsic drive to understand how things work and make them better
Excellent communicating and collaboration across engineering, data, and product teams
Strong attention to detail
About DEKA Research and Development Corporation
DEKA Research and Development Corporation is a research and development company based in Manchester, New Hampshire. The company was founded in 1982 by Dean Kamen, an inventor and entrepreneur who has over 440 patents to his name. DEKA is known for developing innovative technologies in a variety of fields, including medical devices, robotics, and transportation. Some of the company's most notable inventions include the Segway personal transporter, the iBOT mobility system, and the DEKA Arm prosthetic limb. DEKA has received numerous awards and accolades for its work, including the National Medal of Technology and Innovation in 2000.
