Position Details
About this role
Senior Advisor II, AI/ML Engineer leads complex AI initiatives, develops and deploys ML models and autonomous agents, and integrates AI with enterprise platforms and multi-cloud environments to improve operations and decision making.
Key Responsibilities
- Lead and deliver digital transformation programs, applying agile, design thinking, and AI/ML expertise
- Develop and deploy ML models and autonomous agents
- Integrate AI systems with SAP, APIs, and cloud environments
- Direct project planning, requirements management, and cross-functional alignment
- Oversee agent safety, testing, and optimization
Technical Overview
Technical scope includes TensorFlow/PyTorch ML development, LLM tooling (LangChain, LlamaIndex), RAG, vector databases, and production-grade MLOps with Docker and MLflow across Azure/AWS.
Ideal Candidate
The ideal candidate is an experienced AI/ML engineer with 3+ years building ML models and autonomous systems, strong experience with TensorFlow/PyTorch and LLM tooling (LangChain, LlamaIndex), and hands-on MLOps across multi-cloud environments. They should be capable of leading AI initiatives, collaborating with enterprise platforms like SAP, and delivering scalable intelligent solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years AI/ML experience, Not legally authorized to work in the United States, No experience with TensorFlow or PyTorch
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