Machine Learning Engineer

DEKA Research & Development

Manchester, NHJobPosted 3mo agoSeen in employer's feed 4 days ago

Manchester, NHJobNo compensation foundPosted 3mo agoSeen in employer's feed 4 days ago

Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this. New roles like this one near Manchester, NH, by email.

Don't just apply. Show up ready.

Olive works from this exact posting.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.
Tailor your résuméRewritten against this posting, every reworded bullet shown before and after.
Practice the interviewA voice mock interview built from this job description.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, every reworded bullet shown before and after.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation

No compensation found

Location

Manchester, NH

Work Authorization

Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

DEKA Research & Development is hiring a Machine Learning Engineer. DEKA Research & Development is seeking a Machine Learning Engineer to work at the intersection of backend engineering and applied machine learning. This role involves designing distributed systems, deploying production ML models, and architecting scalable data pipelines. The engineer will contribute to AI/LLM-driven workflows and orchestration systems, making a measurable difference through software design and delivery.

Key focus areas include Design and implement scalable backend services and microservices, Build and deploy production ML models across the full lifecycle, and Develop and maintain event-driven distributed pipelines.

Successful candidates bring M.S. In Computer Science and 6+ Years Backend Software Engineering. Important skills include Backend Engineering, Applied Machine Learning, Distributed Systems, Production ML Models, Scalable Data Pipelines, and Backend Services.

Skills & qualifications

RequiredNice to have

Skills

Backend EngineeringApplied Machine LearningDistributed SystemsProduction ML ModelsScalable Data PipelinesBackend ServicesMicroservicesFeature EngineeringML Model TrainingML Model EvaluationML Model DeploymentML Model MonitoringEvent-Driven Distributed PipelinesKafkaApache SparkML Models IntegrationRule-Based Decision EnginesAutomated Real-Time DecisioningAI/LLM-Driven WorkflowsOrchestration SystemsJavaSpring BootSpring MVCHibernatePythonPyTorchStreaming TechnologiesZooKeeperREST APIsSOAP APIsObject-Oriented DesignRelational DatabasesNoSQL DatabasesOracleIBM Db2Microsoft SQL ServerMongoDBAWSCloud PlatformsProblem-SolvingCommunicationCollaborationAttention to Detail

Qualifications

M.S. In Computer ScienceM.S. In AI6+ Years Backend Software Engineering Experience6+ Years Distributed Systems ExperienceLocal Candidate

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

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.

Evaluate my fit