Snowflake ML Engineer

About Us: Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdom, and an offshore development centre in India. Delivery cutting edge AI, Data, and Quality Engineering solutions and consistently surpassing expectations. Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc. 5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis. Our Vision: To be an expert in AI, Data, and Quality Engineering transformations, bold in our thinking and authentic in our relationships. Role: Snowflake ML EngineerExperience : 5-9YrsWork Location- RemoteRole OverviewWe are seeking a hands-on AI/ML Engineer with strong expertise in Snowflake-based feature engineering and model development. This role is critical in expanding our delivery capabilities by building scalable, production-ready ML solutions once the data platform is stabilized.The ideal candidate is a practitioner who can design, build, and deploy ML models directly within Snowflake, while integrating seamlessly with Azure ML services for training, experimentation, and deployment.What You’ll DoBuild and optimize feature engineering pipelines in Snowflake (Snowpark preferred) Design, train, and fine-tune machine learning models for real-world use cases Develop end-to-end AI/ML workflows including training, validation, and deployment Integrate Snowflake pipelines with Azure Machine Learning for scalable model operations Work on AI-powered applications, including: LLM-based chatbots Retrieval-Augmented Generation (RAG) systems Agentic workflows and analytics assistants Implement secure integrations between Snowflake and external systems (Azure, APIs, enterprise tools) Ensure data reproducibility, versioning, and governance across ML pipelinesMust-Have SkillsStrong hands-on experience with Snowflake as a data + compute platform Experience with Snowpark for feature engineering Proven experience in ML model development, training, and tuning Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Experience integrating ML workflows with Azure Machine Learning Solid understanding of: Data transformation & feature engineering Model evaluation & optimization Reproducible ML pipelines Good to HaveExperience with Snowflake Cortex / Snowflake Intelligence Exposure to LLMs, RAG pipelines, or agentic AI systems Hands-on with: Azure Functions Azure DevOps (ADO) GPT Actions / OpenAI integrations Experience building chatbots or AI-driven analytics solutions Understanding of secure authentication (OAuth, API integrations)

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