Lead ML Operations Engineer

Education & Certifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. Preferred certifications: AWS Machine Learning Specialty, AWS Solutions Architect, Kubernetes certifications. 5+ years of relevant experience.

AI / ML / GenAI Expertise Strong experience designing and deploying production-grade ML and GenAI solutions, including LLM-based applications (RAG, agents, prompt engineering, evaluation frameworks).

AWS Expertise Hands-on experience with AWS services including Bedrock, SageMaker, S3, Lambda, Step Functions, EventBridge, API Gateway, ECS/Fargate, ECR, EC2, SQS/SNS, CloudWatch, IAM, and security services; ability to design scalable and cost-efficient architectures.

Snowflake Expertise Strong experience with Snowflake including SQL, Snowpark Python, external stages with S3, storage integrations, tasks, stored procedures, and performance optimization; exposure to Snowflake Cortex capabilities is a plus.

Microservices & API Development Experience building scalable backend systems using REST APIs (FastAPI/Flask) and designing service-oriented architectures.

Application Development Experience building AI-enabled applications using Streamlit and/or ReactJS and deploying them on AWS infrastructure.

Containerization & Orchestration Strong knowledge of Docker and container-based deployments; working experience with Kubernetes concepts or AWS ECS/Fargate.

MLOps / DevOps Experience in CI/CD, model deployment pipelines, monitoring, versioning, and production support for ML/GenAI systems.

Data Engineering & Distributed Systems Experience with large-scale data processing (Spark, Hadoop, NoSQL) and building scalable data pipelines.

Programming Skills Strong proficiency in Python and SQL; familiarity with Java/Scala and open-source ML frameworks.

Leadership & Impact Proven ability to lead complex AI initiatives, mentor teams, influence stakeholders, and deliver scalable, business-impacting solutions.

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.

Come join us, and together we can light up the future.