5 - 10 years
5 - 10 Lacs
Posted:1 day ago|
Platform:
On-site
Full Time
We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control
Suzva Software Technologies
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