Senior Data Scientist

classical ML, NLP, recommendation systems, and generative AI (GenAI) applications.

• Design and execute experiments to evaluate model performance, interpret results, and iterate on model improvements.

• Conduct data analysis to extract actionable insights and communicate findings to business stakeholders.

• Lead cross-functional projects from research and prototyping to production deployment.

• Present results and insights clearly to both technical and non-technical audiences.

Skills, Experience and Requirements

Must have

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• 6+ years of experience in machine learning, data science, or related roles.

• Proficiency in Python and experience with ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, and GenAI/Language models.

• Proven track record of building and deploying ML models

• Experience working with AWS services such as S3, Bedrock, EKS, Lambda, SageMaker AI

Good to have

• Experience with MLOps practices, including model maintenance, versioning, monitoring, and automated retraining pipelines.

• Ability to mentor junior data scientists and collaborate effectively with cross-functional teams, including data engineering, product, and business stakeholders.

Benefits

• Employee Stock Purchase
• Term Insurance
• Accident Insurance
• Health Insurance
• Training Reimbursement
• Gratuity
• Mobile and Internet Reimbursement
• Team Outings