Data Scientist 3

Overview

Data Scientist 3 responsible for building scalable AI, machine learning, and Generative AI solutions, including production-grade models and modern architectures.

What you'll do

• Design and deploy end-to-end AI/ML and Generative AI solutions.
• Build scalable architectures for machine learning, Scientific Machine Learning, surrogate modeling, digital twins, and simulation-driven AI.
• Develop production-ready models on cloud environments using MLOps practices.
• Translate business problems into technical solutions with data scientists, engineers, and stakeholders.
• Lead technical design discussions and guide teams through complex AI/ML challenges.
• Establish monitoring, governance, and fail-safe mechanisms for model reliability.
• Deliver proofs of concept and extract insights from complex datasets.

What you'll need

• 5+ years of experience delivering enterprise-scale data science and AI/ML solutions.
• Bachelor’s, Master’s, or Ph.D. in a relevant field such as Computer Science, Data Science, Engineering, Applied Mathematics, or Physics.
• Strong programming skills in Python or R.
• Hands-on experience with PyTorch and modern deep learning techniques.
• Experience applying machine learning to scientific computing, engineering simulations, surrogate modeling, or related domains.
• Experience with cloud platforms and big-data technologies such as Hadoop or Spark.
• Understanding of MLOps, model deployment, ML fail-safe principles, agile project leadership, and stakeholder management.

Nice to have

• Experience designing large-scale AI/ML or Generative AI architectures.
• Experience building highly scalable production ML systems.
• Familiarity with SciML, Physics-Informed AI, Neural Operators, and Digital Twin technologies.
• Experience guiding teams in high-impact technical environments.
• Understanding of engineering simulation workflows, scientific computing, or physical systems modeling.

Details

• Location: Bangalore, India.
• Standard business hours with flexibility to collaborate across teams.
• Work location models may include On-site Flex or Virtual Flex.