Sr Data Scientist (Bengaluru)

Job Description – Senior Data Scientist
Location – Bangalore(initial travel to Pune for few months) Job Type – Full Time

Brief: We are looking for Senior Data Scientist with hands-on experience in developing AI/ GenAI solutions, and strong 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:
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Translate business requirements into AI solutions; conduct feasibility studies and align machine learning, deep learning, and advanced analytics models with business stakeholder requirements.
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Design and build machine learning and deep learning models for predictive analytics, automation, and decision support
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Apply supervised and unsupervised learning techniques, along with prescriptive analytics, to optimize models and recommend optimal actions
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Develop and fine tune GenAI applications (LLMs, diffusion models, multimodal systems) for industrial applications
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Deploy AI/ML models on Azure, leverage cloud services for scalability, monitoring, and integration with enterprise systems
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MLOps & DevOps Practices - Establish CI/CD pipelines, automate model training, testing, and deployment, monitor performance in production
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Evaluate models using metrics, optimize hyperparameters, and ensure robustness, fairness, and reliability.
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Work closely with cross‑functional teams (engineering, product, operations); mentor junior data scientists and share best practices.
Must-have Qualifications and Experience:
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Engineering Graduate/ Post Graduation (ME/MTech./MS/MBA) with a minimum of 6 years exp.
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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
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Experience with developing GenAI applications in industrial contexts: LLM-based copilots for technicians, automated report generation, and multimodal diagnostics.
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Skilled in writing efficient, reusable Python code leveraging leading libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face
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Hands-on experience developing advanced ML models for industrial applications, with a strong focus on using computer vision techniques for object detection, defect recognition, and visual anomaly detection
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Data Engineering & Preprocessing - Collect, clean, and transform large datasets; apply feature engineering and ensure data quality for AI pipelines.
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Multimodal Data Analysis - Ability to analyze and derive insights from diverse data types, including structured and unstructured formats such as images, videos, and text.
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Proficiency with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) to streamline the model lifecycle

Good-to have skills:
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Familiarity with surrogate model fundamentals, Edge computing applied to mechanical systems and physics-informed machine learning
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Familiarity with Model-Based Systems Engineering (MBSE) tools (e.g., MATLAB, Simulink, ANSYS) and their integration with AI workflows.
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Fundamental understanding of mechanical principles including machine design, vibrations, thermodynamics, fluid mechanics, product quality assessment, material science etc.
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Certification from leading providers like Microsoft. Google. IBM. AWS (e.g.. Azure Al Fundamentals. Azure Solutions Architect)
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Understanding of data and model security best practices in cloud environment
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Experience in creating and publishing whitepapers/ blogs/ registering for IP rights/ patents
What You Can Expect from Us
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Challenging Work Environment: We provide a stimulating environment where you will have the opportunity to work on complex and meaningful projects.
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Global Impact: Be part of a multinational organization where your work and ideas contribute to both local and global success.
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Growth & Development: We are dedicated to helping you develop your career by providing opportunities to grow, take on current challenges, and lead initiatives that matter.
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Innovation Encouraged: Our culture supports challenging the "Status Quo" and fostering new ideas to build tools, frameworks, and applications that make a difference.
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Collaboration & Support: We work in teams where each person is valued, and where collaboration, mentoring, and support are at the heart of our success.