[Remote] Senior Machine Learning Engineer (GenAI / Snowflake)
Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts at every stage of their careers. Our client, Blue.Cloud, is seeking two Senior Machine Learning Engineers to support Generative AI initiatives and advanced AI/ML use cases leveraging the Snowflake Data Cloud. These engineers will design, prototype, and deploy scalable GenAI solutions and interfaces to power next-generation analytics and intelligent applications.
Responsibilities
• Design and implement GenAI architectures leveraging Snowflake as the primary data platform.
• Build retrieval-augmented generation (RAG) workflows and integrate model context protocol (MCP) services for advanced AI applications.
• Develop Python-based ML/GenAI models and APIs; create rapid prototypes and production-ready solutions.
• Build user-facing interfaces and supporting services for AI/ML features.
• Collaborate with cross-functional teams (data engineering, product, cloud) to integrate solutions within Azure and AWS environments.
• Establish CI/CD pipelines and infrastructure-as-code practices (Terraform, Jenkins) to automate deployments.
Skills
• Strong expertise with Snowflake, including advanced data modeling and optimization.
• Hands-on experience with Azure and AWS cloud platforms.
• Proficiency in Python for ML/AI development (PyTorch, TensorFlow, LangChain, etc.).
• Practical experience with RAG, MCP services, and GenAI architecture design.
• Proven ability to build prototypes, production interfaces, and scalable ML pipelines.
• Experience with CI/CD, Terraform, and Jenkins for MLOps automation.
• Background in healthcare data or regulated environments.
Company Overview
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