Machine Learning Engineer
Kforce has a client that is seeking a Machine Learning Engineer in Westlake, TX. Key Tasks:
- Establish pipelines and frameworks that allow research models to move seamlessly into production
- Enable RAG-based apps and agentic workflows to be deployed reliably
- Ensure services are scalable, secure, and easy to integrate across teams
- Provide clarity on how different ML models fit different business problems
- Learning from and sharing knowledge and skills with your peers to enhance the team's total impact to the organization
- Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
- 8+ 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 (Lang Chain, Crew AI, Lang Graph, AutoGen, etc.)
- Experience with Oracle, Snowflake, vector databases, and knowledge graphs (e.g., Neo4j, RDF/SPARQL)
- Strong background in cloud-native software engineering and microservices architecture
- Concrete understanding of traditional ML models and their usecses
- Advanced Python skills; Familiarity with C++, Java, or .NET is a plus
- Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.)
- DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions
- Understanding of Responsible AI principles and ability to identify and mitigate ethical risks
- Stay updated with the latest advancements in Machine Learning world and integrate them into projects
- Communicate complex technical concepts to non-technical stakeholders
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