Machine Learning Engineer

Overview

Hybrid
$75 - $85
Contract - W2
Contract - 12 Month(s)

Skills

Machine Learning
AI/ML
"Gen AI"
"Agentic AI"
API
AWS
Oracle

Job Details

Immediate need for a talented Machine Learning Engineer This is a 12 months contract opportunity with long-term potential and is in Durham NC/Boston MA/Smithfield RI(Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-92473
Pay Range: $75/hour - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • We are looking for a Senior Machine Learning Engineer (Integration Specialist) to productionize research models and GenAI workflows into scalable services.
  • Our team is to deliver AI solutions, pipelines and best practices you establish will be adopted by other teams.
  • This role is ideal for a strong software engineer (10 years experience, with 3 5 years in ML/GenAI) who enjoys deployment, integration, and scaling, rather than research.


Key Requirements and Technology Experience:

  • Key skills; Machine Learning , AI/ML , "Gen AI", "Agentic AI", API , AWS, Oracle
  • Bachelor s or Master s in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 10 years of software engineering experience in APIs, cloud deployments, and system integration.
  • 3-5 years in ML engineering, with 2 years in agentic or multi-agent systems.
  • Proven must have experience building and deploying RAG pipelines using embedding models and vector search.
  • Must have hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
  • Must have experience with agent orchestration frameworks (LangChain, CrewAI, LangGraph, AutoGen etc).
  • Strong background in cloud-native software engineering and microservices architecture.
  • Concrete understanding of traditional ML models and their usecses.
  • Programming: Advanced Python skills; familiarity with C , Java, or .NET is a plus.
  • Cloud Platforms: Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.).
  • Databases: Experience with Oracle, Client, vector databases, and knowledge graphs (e.g., Neo4j, RDF/SPARQL).
  • DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions.
  • AI Ethics: Understanding of Responsible AI principles and ability to identify and mitigate ethical risks.
  • Good to have if you have exposure or worked on tools which aid for continuous model evaluation and alerting.
  • Stay updated with the latest advancements in Machine Learning world and integrate them into projects.
  • Communicate complex technical concepts to non-technical stakeholders.


Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration

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