Machine Learning Engineer

DEKA Research & Development • Manchester, NH

19d • Onsite

About The Position

DEKA is seeking a Machine Learning Engineer who works across backend engineering and applied machine learning. The role designs distributed systems, deploys production ML models, and architects scalable data pipelines for real-world applications. This position is on-site at DEKA in Manchester, New Hampshire. Relocation is not available; local candidates only.

Requirements

• Master's degree in Computer Science, AI, or a related field.
• At least 6 years of experience in backend software engineering and distributed systems.
• Strong proficiency in Java, including Spring Boot, Spring MVC, and Hibernate, and in Python.
• Hands-on experience building and deploying production ML models using PyTorch or an equivalent framework.
• Experience with distributed systems and streaming technologies, including Apache Kafka, Apache Spark, and ZooKeeper.
• Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design.
• Experience with relational and NoSQL databases, including Oracle, IBM Db2, MSSQL, and MongoDB.
• Familiarity with AWS or equivalent cloud platforms.
• Strong problem-solving skills.
• Intrinsic drive to understand how things work and improve them.
• Excellent communication and collaboration across engineering, data, and product teams.
• Strong attention to detail.
• Must be a local candidate; relocation is not available.

Responsibilities

• Design and implement scalable backend services and microservices for data-intensive, real-world applications.
• Build and deploy production ML models across the full lifecycle, including feature engineering, training, evaluation, deployment, and monitoring.
• Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies.
• Architect systems integrating ML models with rule-based decision engines for automated, real-time decisioning.
• Collaborate across disciplines to translate complex requirements into reliable engineering solutions.
• Contribute to AI/LLM-driven workflows and orchestration systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior