Senior Data Science & AI Specialist

Responsibilities

• Develop machine learning and artificial intelligence-based solutions for Automation Digital organization.

• Utilize latest developments in industrial digitization, connected devices and systems.

• Create scalable models and algorithms for integrating into proprietary tools and products.

• Analyze data, understand features, evaluate alternate models, validate hypothesis through theoretical and empirical approaches.

• Create statistical, predictive, and forecasting models for equipment monitoring, failure detection, life estimation, life extension, process modeling and process optimization.

• Build tools and support structures needed for analyzing data, perform data cleansing, feature selection and feature engineering.

• Develop AI agents to automate processes that need human intervention

• Work closely with customers and Business Units (BUs) to architect and develop customer centric solutions tailored to their requirements.

• Practice agile development of digital solution ‘Proof of Concepts’ to effectively articulate the Customer Value Proposition

• Provide industry specific domain insights for rich proposal responses by articulating customer value proposition

Requirements

Technology

• Extensive programming experience in one or more of the following languages: Python (preferred), R, and Matlab®

• Experience with deep learning frameworks like PyTorch and TensorFlow is preferred

• Familiarity with technologies like Docker, Kubernetes and MLflow is good to have

• Experience with architecting and leading the development of intelligent AI agents that automate and scale industrial analytics workflows end‑to‑end

• Agile development of customer centric prototypes / ‘Proof of Concepts’ for focused digital solutions

Domain

• An understanding of failure modes of electro-mechanical systems like pumps, motors, turbines, generators, transformers etc. is preferred

• Some expertise in large language models (LLMs)—including model architectures, and evaluation—to drive robust, production‑ready AI solutions will be helpful

• A good understanding of optimization solvers and experience in using them will be an added bonus

Soft Skills

• Strong oral and written communication skills in English

  • Ability to interact with business and operation heads to articulate business value