GenAI ML MLOps Engineering Lead Remote

What we're looking for

• Lead ML Engineering to architect, build and deploy production grade GenAI services and solutions.
• Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more.
• Lead MLOps/LMOps platform development & automated pipelines focusing on deploying, monitoring and maintaining models in production environments; with model governance, cost and performance optimization.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures.
• Work closely with members of technology teams in the development, and implementation of Enterprise AI platform.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of progressive experience in machine learning, data analytics or similar roles.
• 5 years of relevant experience with writing production level, scalable code with Python (or Scala).
• Experience in MLOps/LLMOps, machine learning engineering, Big Data, or a related role.
• Proficiency with Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.
• Experience with containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools.
• Experience in distributed systems programming, AI/ML solutions architecture, Microservices architecture.

Nice-to-haves

• 2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions.
• Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions.
• 6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases.
• Experience with SageMaker and/or Vertex AI.

Benefits

• Health care coverage designed for the mind and body.
• Generous time off to keep you energized.
• Access to resources for continuous learning and career growth.
• Competitive pay and retirement planning options.
• Family-friendly perks and benefits for partners and children.
• Retail discounts and referral incentive awards.