jazzhr
Machine Learning Engineer
DEKA Research & Development
Manchester, USA
Full-time
Senior Level
Onsite
Discovered 1 weeks ago
Free
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- 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
- 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
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