Machine Learning Engineer

RESPONSIBILITIES:
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

REQUIREMENTS:
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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