Senior Data Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Atlas Copco Group is looking for a Senior Data Scientist in Pune, India, to develop and deploy AI/GenAI solutions. The role involves designing ML/DL models, applying GenAI techniques, and implementing MLOps practices. A minimum of 6 years of experience is required.
Responsibilities
- Translate business requirements into AI solutions and conduct feasibility studies.
- Design and build machine learning and deep learning models for predictive analytics, automation, and decision support.
- Apply supervised, unsupervised, and prescriptive analytics techniques to optimize models.
- Develop and fine-tune GenAI applications (LLMs, diffusion models, multimodal systems) for industrial applications.
- Deploy AI/ML models on Azure and leverage cloud services for scalability, monitoring, and integration.
- Establish CI/CD pipelines, automate model training, testing, and deployment, and monitor performance in production.
- Evaluate models using metrics, optimize hyperparameters, and ensure robustness, fairness, and reliability.
- Collaborate with cross-functional teams and mentor junior data scientists.
Requirements
- Engineering Graduate/Post Graduation (ME/MTech./MS/MBA) with a minimum of 6 years of experience.
- Developed and delivered a comprehensive portfolio of AI projects leveraging advanced AI/ML techniques for mechanical engineering solutions.
- Experience developing GenAI applications in industrial contexts (e.g., LLM-based copilots, automated report generation, multimodal diagnostics).
- Skilled in writing efficient, reusable Python code leveraging libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
- Hands-on experience developing advanced ML models for industrial applications, with a focus on computer vision techniques.
- Experience with Data Engineering & Preprocessing: collecting, cleaning, transforming large datasets, and feature engineering.
- Ability to analyze and derive insights from multimodal data (images, videos, text).
- Proficiency with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Familiarity with surrogate model fundamentals, Edge computing, and physics-informed machine learning.
- Familiarity with Model-Based Systems Engineering (MBSE) tools (e.g., MATLAB, Simulink, ANSYS).
- Fundamental understanding of mechanical principles (machine design, vibrations, thermodynamics, fluid mechanics, etc.).
- Certification from leading providers like Microsoft, Google, IBM, AWS.
- Understanding of data and model security best practices in a cloud environment.
- Experience in creating and publishing whitepapers/blogs or registering IP rights/patents.
Benefits
- Challenging Work Environment with opportunities to work on complex and meaningful projects.
- Global Impact within a multinational organization.
- Growth & Development opportunities for career advancement.
- Innovation Encouraged culture that supports new ideas.
- Collaboration & Support through teamwork and mentoring.
#Data Science#AI#GenAI#Machine Learning#Deep Learning#DevOps#MLOps#Python#TensorFlow#PyTorch#Scikit-learn#Hugging Face#Computer Vision#Cloud#Azure
Company
Atlas Copco Group
Job Posted
4 days ago
Expires
in 1 week
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
Pune, India
Qualification
Undergraduate, Master
Applicants
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