Senior AI Architect (ML / MLOps / GenAI)

Technical Skills & Expertise:

   • Machine Learning & AI: XGBoost, Random Forest, SVMs, CNNs, RNNs, Transformers, LLMs (GPT, Claude, Llama, Falcon).

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   • Hyperparameter Tuning & Optimization: Grid Search, Bayesian Optimization, Genetic Algorithms, Reinforcement Learning.

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   • Generative AI & NLP: LangChain, Prompt Engineering, RAG, FAISS, Pinecone, Vector Search, Embeddings.

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   • Statistics & Data Science: Hypothesis Testing, Regression Analysis, Probability, Feature Engineering, Dimensionality Reduction.

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   • MLOps & Deployment: MLflow, TFX, Kubeflow, SageMaker Pipelines, Docker, Kubernetes, CI/CD Pipelines.

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   • Cloud & Infrastructure: AWS (SageMaker, Lambda, API Gateway, S3, EKS, CloudFormation), Terraform, CDK.

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   • API & Performance Optimization: FastAPI, Flask, GraphQL, Async Processing, Caching.

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   • AI Governance & Compliance: Bias detection, Explainability (SHAP, LIME), Model Drift, AI Security & Compliance.

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   • Data Science technology knowledge: Technologies such as Python, PySpark, Scala, Data Lake, Data Warehouses would be a plus.

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