Job Summary
We are seeking a highly skilled Machine Learning Engineer with strong experience in designing, developing, deploying, and maintaining scalable ML solutions on AWS. The ideal candidate should have hands-on expertise with Databricks, AWS SageMaker, AWS Bedrock, and AWS Lambda, along with a solid background in Python, MLOps, and cloud-native architectures.
Required Skills
5+ years of experience in Machine Learning, AI, and Data Engineering.
Strong hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, MLflow).
Experience building, training, tuning, and deploying ML models using AWS SageMaker.
Experience developing Generative AI applications using AWS Bedrock.
Hands-on experience with AWS Lambda for serverless ML workflows and API integrations.
Strong programming experience in Python.
Experience with PySpark, Pandas, NumPy, and Scikit-learn.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
Experience with REST APIs using FastAPI or Flask.
Strong understanding of Docker and Kubernetes.
Experience with Git, CI/CD pipelines, and Infrastructure as Code (Terraform or CloudFormation).
Strong SQL skills and experience working with large-scale datasets.
Experience with monitoring and logging tools such as CloudWatch and Datadog.
Excellent analytical, troubleshooting, and communication skills.

Machine Learning Engineer

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