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BioSpace seeks a senior professional to lead the design, development, and deployment of machine learning and Generative AI solutions using Databricks and Spark. You will architect scalable data pipelines and set MLOps/LLMOps best practices for reliable production deployment.
The role requires deep ML/GenAI expertise within cloud ecosystems and a strong track record of delivering scalable systems. This is a hands-on leadership position focused on end-to-end delivery and production readiness.
Lead the end-to-end design, development, and delivery of machine learning and Generative AI solutions using Databricks and Spark. Architect scalable data engineering pipelines and establish MLOps/LLMOps best practices to ensure reliable production deployment.
Requirements: Requires a high level of education and significant experience, ranging from a Doctorate with 2 years to a High School diploma with 12 years of relevant experience. Must possess deep expertise in machine learning, generative AI, and scalable system architecture within cloud ecosystems.
Key Skills: Machine Learning, Generative AI, Databricks, Apache Spark, Python, SQL, MLOps, LLMOps, Data Engineering, Cloud Architecture, AWS, Azure, GCP, Deep Learning, RAG, CI/CD
Benefits: Retirement and Savings Plan, Medical coverage, Dental coverage, Vision coverage, Life insurance, Disability insurance, Flexible spending accounts, Discretionary annual bonus program, Stock-based long-term incentives, Time-off plans