Data ScienceML Engineer

Job Title: Data Science/ML Engineer
Job Location: Remote Quarterly travel to Chicago IL (client-paid)
Interview Mode: Virtual
Job Duration: Long term contract

Responsibilities:

• Design enterprise GenAI solutions using LLMs RAG Agentic AI and Machine Learning.
• Work with business stakeholders to identify AI opportunities and translate requirements into scalable architectures.
• Develop POCs MVPs and prototypes to demonstrate technical feasibility and business value.
• Define AI architecture covering model selection orchestration vector databases and deployment.
• Collaborate with engineering teams to transition approved solutions into production.
• Present AI solutions and architecture recommendations to technical teams and executive leadership.

Must Haves:

• Strong Data Science/Machine Learning background preferably someone who started their career in ML or Data Science before moving into architecture.
• Target 1015 years of experience rather than 20 years.
• Hands-on experience architecting enterprise Generative AI solutions.
• Strong knowledge of Machine Learning NLP or Computer Vision.
• Experience with LLMs RAG architectures and Agentic AI frameworks.
• Experience building AI POCs and transitioning successful solutions toward production.
• Strong Python skills and familiarity with ML/Deep Learning frameworks.
• Experience with AI technologies such as LangChain LangGraph LlamaIndex vector databases and cloud AI platforms.
• Excellent communication presentation and stakeholder management skills.

Nice to Haves:

• Experience working within an AI Center of Excellence (CoE).
• Experience with Google Vertex AI AWS SageMaker or Hugging Face.
• Experience leading enterprise AI transformation initiatives.
• Background across NLP Computer Vision and Predictive Analytics.
• Experience estimating ROI and presenting AI investment recommendations to leadership.

Required Skills:

DATA SCIENCE MACHINE LEARNING ML