Senior Data Scientist

About the job

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: -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. Must-have Qualifications and Experience: -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 leveraging leading libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. -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. -Data Engineering & Preprocessing - Collect, clean, and transform large datasets;apply feature engineering and ensure data quality for AI pipelines. -Multimodal Data Analysis - Ability to analyze and derive insights from diverse data types, including structured and unstructured formats such as images, videos, and text. -Proficiency with MLOps tools (e.G., MLflow, Kubeflow, Docker, Kubernetes) to streamline the model lifecycle. Good-to have skills: -Familiarity with surrogate model fundamentals, Edge computing applied to mechanical systems and physics-informed machine learning. -Familiarity with Model-Based Systems Engineering (MBSE) tools (e.G., MATLAB, Simulink, ANSYS) and their integration with AI workflows. -Fundamental understanding of mechanical principles including machine design, vibrations, thermodynamics, fluid mechanics, product quality assessment, material science etc. -Certification from leading providers like Microsoft. Google. IBM. AWS (e.G.. Azure Al Fundamentals. Azure Solutions Architect) -Understanding of data and model security best practices in cloud environment -Experience in creating and publishing whitepapers/ blogs/ registering for IP rights/ patents. What You Can Expect from Us: -Challenging Work Environment: We provide a stimulating environment where you will have the opportunity to work on complex and meaningful projects. -Global Impact: Be part of a multinational organization where your work and ideas contribute to both local and global success. -Growth & Development: We are dedicated to helping you develop your career by providing opportunities to grow, take on new challenges, and lead initiatives that matter. -Innovation Encouraged: Our culture supports challenging the 'Status Quo' and fostering new ideas to build tools, frameworks, and applications that make a difference. -Collaboration & Support: We work in teams where each person is valued, and where collaboration, mentoring, and support are at the heart of our success.

Requirements

• AI solutions
• machine learning
• DevOps
• GenAI

Qualifications

• Engineering Graduate/ Post Graduation (ME/MTech./MS/MBA)

Preferred Technologies

• AI solutions
• machine learning
• DevOps
• GenAI

About the company

Actualize provides challenging work environments and opportunities for employees to work on complex projects that have a global impact. They encourage innovation, collaboration, and support for their team members.