Sr. Machine Learning Engineer

Key Responsibilities:

End-to-end ML model development (data prep, feature engineering, training, deployment)

Build scalable ML pipelines with AWS SageMaker, Databricks, and Spark

Develop CI/CD workflows, model monitoring & automated updates

Collaborate with product, business, and engineering teams to deliver AI solutions

Stay current with ML/AI research & apply to real-world use cases

Required Skills:

5+ years of Machine Learning experience in production environments

Strong hands-on with AWS (SageMaker, S3, Lambda, DynamoDB, Kinesis)

Spark/EMR, Databricks for ETL & large-scale data processing

MLFlow for model tracking/monitoring

Experience in CI/CD, testing, and scalable deployments

Strong problem-solving & cross-team collaboration skills

Apply now