ML Engineer

Key Requirements : 446

• 6–12 years of experience in ML engineering.
• Strong AWS Cloud skills : SageMaker, S3, EC2, Lambda, Redshift, Glue.
• ML model deployment and MLOps experience.
• Data engineering skills : SQL, Kafka, OpenSearch, Neo4J / ScyllaDB.
• Containerization & orchestration : Docker, Kubernetes (EKS / ECS).
• Software engineering best practices : CI / CD, version control, testing.

Nice to Haves : Experience with model monitoring, pipeline optimization, and system scalability.

Notice Period : Immediate – 30 days

Interview : 2 Technical + 1 Client round

Work Model : Hybrid (3 days in office, Pune)

Core Skills : AWS, AWS Cloud, Amazon Redshift, EKS

Skills : data,amazon redshift,ml,amazon,ci,cloud,containerization,cd,aws,skills

Skills Required

S3, Version Control, Testing, Kafka, Redshift, Sql, Lambda, Ec2, MLops, Neo4j, Docker, ECS, glue , Aws Cloud, Kubernetes