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Senior Data Scientist

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens

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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.

Ansvarsområden

  • 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.

Krav

  • 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.

Förmåner

  • 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
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Företag

Atlas Copco Group

Publicerade jobb

för 4 dagar sedan

Upphör

om 1 vecka

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Senior

Platser

Pune, India

Kvalifikation

Grundnivå, Masterexamen

Sökande

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