UM
Full time
🤖 AI / ML
Machine Learning Engineer at Umicore
Listed by DevShelfHub
Pune, India
Hybrid
Senior · 5–9 yrs
About the Role
Advanced materials and recycling companies are applying machine learning to optimize products and drive predictive analytics. Umicore, a global leader in automotive emission control catalysts, is hiring a Machine Learning Engineer in Pune to design, develop, and deploy advanced ML models.
What you'll do
- Design, develop, and deploy advanced machine learning models for customer segmentation, recommendation systems, anomaly detection, and predictive analytics
- Collaborate with data engineers to build and maintain robust data pipelines
- Evaluate and recommend ML frameworks, tools, and technologies in collaboration with Corporate IT & R&D
- Experiment with different ML techniques to optimize performance and accuracy
- Conduct model evaluation and continuous improvement through experimentation
- Translate business requirements into scalable technical solutions
- Stay ahead of industry trends and integrate the latest ML advancements
- Maintain comprehensive documentation for models and processes
What we're looking for
- 5+ years of experience as a Machine Learning Engineer
- Degree in Computer Science, Statistics, Mathematics, or related field
- Strong programming skills in Python, R, or Java
- Hands-on experience with Databricks
Skills & Technologies
Required
5+ years of experience as a Machine Learning Engineer
Degree in Computer Science, Statistics, Mathematics, or related field
Strong programming skills in Python, R, or Java
Hands-on experience with Databricks
Expertise in ML frameworks: TensorFlow, PyTorch, or Scikit-Learn
Proven experience deploying ML models in production environments
Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning
Experience with cloud platforms (Azure preferred, AWS, or GCP)
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on ML engineering across customer segmentation, recommendation systems, anomaly detection, and predictive analytics in the automotive catalysts domain.
- Design, develop, and deploy advanced ML models for segmentation, recommendations, anomaly detection, and predictive analytics
- Collaborate with data engineers to build and maintain robust data pipelines
- Evaluate and recommend ML frameworks, tools, and technologies with Corporate IT & R&D
- Experiment with ML techniques to optimize performance and accuracy
- Conduct model evaluation and continuous improvement through experimentation
- Translate business requirements into scalable technical solutions
- Stay ahead of industry trends and integrate latest ML advancements
- Hands-on experience with Databricks
- Deploy ML models in production environments with MLOps practices
- Exposure to NLP or Computer Vision (nice to have)
- Global organization with competitive salary and inclusive work culture
About Umicore
Umicore is a global advanced materials and recycling group that develops, produces, and recycles materials for a better life. The Automotive Catalysts business unit is a world leader in automotive emission control catalysts, with technologies that have prevented billions of tons of harmful gases from being released. Umicore enables customers to produce cleaner engines through continuous innovation in machine learning and data science.
- Industry
- Technology
- Company Size
- 500+
- Website
- umicore.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 5–9 years
- Location
- Pune, India
- Work Mode
- Hybrid
- Category
- AI / ML
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