Data Scientist AI and ML

About the role

Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards and best practices. Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.

What you'll do

• Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences
• Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures
• Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards…
• Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability
• Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• Scikit-learn
• MLOps
• AWS
• R
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• TensorFlow
• PyTorch
• Spark
• Hadoop
• Airflow
• Azure