AI/ML Architect

Strong expertise in Python and core ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)Proven experience building and deploying ML models in production (MLOps, CI/CD, monitoring)Solid understanding of data engineering concepts (ETL, feature engineering, large-scale data processing)Experience with Generative AI / LLMs (e.g., RAG, fine-tuning, prompt engineering)Experience with cloud platforms (Azure, AWS, or GCP) and distributed computing (e.g., Spark) AWS and Snowflake strongly preferredAbility to translate business problems into ML solutions and communicate results to stakeholdersMust-Have Skills & Qualifications:Familiarity with tools like MLflow or KubeflowExperience working on AWS and Snowflake strongly preferred.Knowledge of data governance, privacy, and responsible AI practicesBackground in NLP, computer vision, or recommendation systemsExperience mentoring junior engineers and