SR. ML Engineer with Java and Spring Boot

TekCommands Inc
Hartford, CT, United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Information Engineering IBM DB2 Relational Databases Cursor (Graphical User Interface Elements) Python (Programming Language) Machine Learning Search Technologies
+13 more
Systems Integration GitHub Copilot Large Language Models Prompt Engineering Spring-boot Generative AI AI Platforms Pyspark Information Technology Machine Learning Operations Virtual Agents Api Design Legacy Systems

Job description

Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…

  • 1 month ago, Our client, a IT Services and Consulting company, is looking for a Senior AI/ML Engineer - Java, Python & Generative AI for their Hartford, CT location. Requirements: 5+ years …
  • 13 hours ago +

Requirements

5+ years of experience as a Software Engineer or Java Developer in enterprise environments. Strong experience with Java and Spring Boot. Experience with Python and PySpark for data engineering and AI/ML workloads. Strong API development experience (REST required). Experience designing, developing, or integrating AI/ML solutions in production environments. Knowledge of Generative AI technologies, including LLMs, prompt engineering, RAG architecture, vector databases, and AI agent frameworks. Experience consuming AI services through APIs (OpenAI, Azure OpenAI, Vertex AI, Anthropic, or similar platforms). Familiarity with MLOps concepts, model deployment, monitoring, and governance best practices. Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar technologies. Strong problem-solving skills and ability to work effectively within a fast-paced Agile environment. Preferred Qualifications Experience working with relational databases (DB2 preferred). Experience building enterprise AI applications using LangChain, Semantic Kernel, LlamaIndex, or similar frameworks. Experience implementing AI governance, security, and responsible AI practices. Familiarity with vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search. Experience modernizing legacy systems and integrating AI-driven business processes. Knowledge of financial services, commissions, brokerage, or enterprise compensation platforms.

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