ML Engineer

Title: ML Engineer

Location: Houston, TX OR Denver, CO (1 week onsite, 1 week from home)

Duration: Direct Hire

Visa: Must be eligible for full time (USCEAD)

Must have:

• Machine Learning Engineer
• LLM
• AI/ GenAI
• Langchain/LangGraph
• RAG Systems

Requirements and Expectations:

• 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations.
• Proven track record of implementing and scaling models in an operations or customers focused company
• Strong programming skills: Python and Cloud Implementation Scripting
• Experience with big data, real-time streaming data technologies, and cluster computing environments.
• Knowledge and exposure to cloud technologies, especially AWS.
• Implement data science algorithms in ML Studio SageMaker.
• Create systems and processes to monitor performance of ML algorithms in production.
• Serve as the subject matter expert of ML Operations and guides data scientists in the practical implications of model design
• Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi
• Partner with our Architecture team to ensure endpoints, compute, and network considerations are built into solutions
• Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
• Work as part of geographically dispersed team, effectively communicating prioritized business needs and prioritized project statuses.
• Design systems to balance cost and performance to meet business outcomes