Your role

We are looking for Senior Data Scientist with hands-on experience in developing AI/ GenAI solutions, and solid expertise in leading AI tools and packages. The candidate must be proficient in designing and deploying AI models, applying GenAI techniques, and implementing DevOps/MLOps practices to ensure scalable and reliable deployment.

Responsibilities

Translate business requirements into AI solutions; conduct feasibility studies and align machine learning, deep learning, and advanced analytics models with business stakeholder requirements.

Design and build machine learning and deep learning models for predictive analytics, automation, and decision support

Apply supervised and unsupervised learning techniques, along with prescriptive analytics, to optimize models and recommend optimal actions

Develop and fine tune GenAI applications (LLMs, diffusion models, multimodal systems) for industrial applications

Deploy AI/ML models on Azure, leverage cloud services for scalability, monitoring, and integration with enterprise systems





MLOps & DevOps Practices - Establish CI/CD pipelines, automate model training, testing, and deployment, monitor performance in production

Evaluate models using metrics, optimize hyperparameters, and ensure robustness, fairness, and reliability.

Work closely with cross‑functional teams (engineering, product, operations); mentor junior data scientists and share best practices.

To succeed, you will need

Engineering Graduate/ Post Graduation (ME/MTech./MS/MBA) with a minimum of 6 years exp.

Developed and delivered a comprehensive portfolio of AI projects, leveraging advanced AI/ML techniques towards mechanical engineering solutions including predictive maintenance, process optimization, real-time prediction

Experience with developing GenAI applications in industrial contexts: LLM-based copilots for technicians, automated report generation, and multimodal diagnostics.

Skilled in writing efficient, reusable Python code leverag

📌 Senior Data Scientist (Pune)
🏢 Atlas Copco Group
📍 Pune