Job Description

Required Skills & Experience: 

13+ years of experience in AI/ML, data engineering, and cloud architecture. 

Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization. 

Proven expertise in: (Any One)

  AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch

  GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma)

  Cloud platforms: AWS, Azure, GCP including AI/ML & GenAI native services 

  MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines 

  Strong experience with data security, governance, model risk management, and AI compliance frameworks

  Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders

 


Skills Required
Tensorflow, Aws, Pytorch, Azure, Gcp, XGBoost

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