Consulting Lead - AI ML

Advanced proficiency in Python.

Experience with full stack development is a plus.

Architecting enterprise-grade agentic systems, AgentOps, MLOps, and technical leadership, Agent Governance, Agent Security

Develop, evaluate, and fine-tune Large Language Models, build prompt engineering pipelines, and implement RAG-based systems for semantic search and question-answering.

Build, deploy, and manage autonomous AI agents utilizing frameworks like LangChain, LlamaIndex, or AutoGen

Optimizing existing generative AI models for improved performance, scalability, and efficiency. · Deep knowledge of PyTorch, TensorFlow, or Keras.

Experience with Hugging Face, Ollama ecosystem and ecosystem tooling.

Design and maintain embeddings pipelines, process unstructured data, and manage vector databases (e.g., Pinecone, Pgvector, Chroma)

Package, containerize, and deploy AI models into production using MLOps best practices (CI/CD, version control, and model monitoring)

Partner with Data Scientists, Product Managers, and enterprise architects to align AI features with business goals.

Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes

Proficiency in CI/CD for ML models and A/B testing frameworks

Strong knowledge of data structures, SQL, multi-threading, and APIs (RESTful, Odata). · Knowledge of SAP BTP Services