Senior AWS Data Scientist with 8+ years of experience in Machine Learning, MLOps, and GenAI, specializing in Amazon SageMaker, Bedrock, Python, and AWS analytics services to build, deploy, and optimize scalable AI/ML solutions.
AWS Data Scientist with strong expertise in Amazon SageMaker, Python, Machine Learning, MLOps, and AWS Analytics services, capable of building, deploying, monitoring, and optimizing scalable ML/AI solutions, including GenAI workloads on AWS.
Strong experience in Amazon SageMaker for ML model development, training, deployment, and monitoring.
Proficiency in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch.
Expertise in feature engineering, predictive modeling, and statistical analysis.
Experience with MLOps, SageMaker Pipelines, CI/CD, Docker, and GitHub.
Knowledge of GenAI/LLMs, Amazon Bedrock, SageMaker JumpStart, and RAG frameworks.
Exposure to Arize AI/ML model monitoring and observability.
Strong problem-solving skills with experience delivering scalable AI/ML solutions on AWS.