Machine Learning

Umicore

Maharashtra

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Umicore in India is seeking an experienced Machine Learning Engineer to design, develop and deploy advanced ML models for automotive catalysts and data-driven applications. You will build robust data pipelines, evaluate frameworks, and translate business needs into scalable solutions.

The ideal candidate has 5+ years in ML, strong Python/R/Java skills, and hands-on experience with Databricks, TensorFlow, PyTorch, or Scikit-Learn.

Qualifications

  • 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 such as TensorFlow, PyTorch, or Scikit-Learn.
  • Proven experience deploying ML models in production environments.
  • Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithms.
  • Experience with cloud platforms (Azure preferred, AWS, or GCP).
  • Knowledge of MLOps practices (CI/CD, model monitoring, versioning).
  • Nice to have: NLP or Computer Vision experience.
  • Nice to have: Microsoft Azure AI Engineer Associate certification.
  • Nice to have: Fluency in English.

Responsibilities

  • Design, develop, and deploy advanced machine learning models for applications like 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.

Skills

Machine Learning
Python
R
Java
TensorFlow
PyTorch
Scikit-Learn
MLOps
Cloud platforms (Azure/AWS/GCP)
English proficiency

Education

Degree in Computer Science, Statistics, Mathematics, or related field

Tools

Databricks

Job description

About Umicore

Powering the cars of today and tomorrow. Reducing harmful emissions. Giving unique properties to high-end applications. Giving new life to used metals. As a global advanced materials and recycling group, we develop, produce, and recycle materials for a better life.

About Umicore

Powering the cars of today and tomorrow. Reducing harmful emissions. Giving unique properties to high-end applications. Giving new life to used metals. As a global advanced materials and recycling group, we develop, produce, and recycle materials for a better life.

About Automotive Catalysts

We all have the right to breathe clean air, and at Umicore, we are a world leader in the production of automotive emission control catalysts. Our technologies enable on-road and non-road applications to meet environmental standards around the world. Our products have prevented billions of tons of harmful gases and particles being released into the atmosphere. To enable our customers to produce even cleaner engines we cannot stand still. We need to find new ways to do things, discover new solutions and develop new ideas. Which is where you come in.

Your Key Accountabilities
  • Design, develop, and deploy advanced machine learning models for applications like 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
Who we are 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
  • Expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • Proven experience deploying ML models in production environments
  • Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithms
  • Experience with cloud platforms (Azure preferred, AWS, or GCP)
  • Knowledge of MLOps practices (CI/CD, model monitoring, versioning)
Nice To have
  • Experience in NLP or Computer Vision Familiarity with Agile methodologies
  • Microsoft Azure AI Engineer Associate certification
  • Fluency in English
What We Can Offer

We aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a collaborative environment in which we can all succeed, and a culture through which we can all share ideas, develop our expertise and advance our careers. We engage in building an inclusive work culture that offers equal opportunities for all employees irrespective of their diverse backgrounds. As you would expect from a world-leading organisation, we will also reward your contribution with a competitive salary and benefits. With all this and more, imagine what you could do?

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

ML Engineer
ML Engineer

Cubet Techno Labs • Ernakulam

On-site
INR 700,000 - 1,200,000
Innovative Environment
Career Growth
Collaborative Culture
+1
Lead AIML Engineer / Associate Principal - ML Ops
Lead AIML Engineer / Associate Principal - ML Ops

Tiger Analytics • Bengaluru

On-site
INR 4,000,000 - 7,000,000
Health insurance (self & family)
Virtual wellness platform
Knowledge communities
Lead AIML Engineer / Associate Principal - ML Ops
Lead AIML Engineer / Associate Principal - ML Ops

Tiger Analytics • Chennai District

On-site
INR 3,200,000 - 5,600,000
Health insurance (self & family)
Virtual wellness platform
Knowledge communities
Data Science & Engineering Lead
Data Science & Engineering Lead

Particle41 • Pune District

On-site
INR 8,555,000 - 12,358,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Nifty Coders Pvt. Ltd. • Nalanda

Hybrid
INR 2,500,000 - 4,000,000
Competitive compensation plans
Two annual bonuses
Paid Maternity Leave (4 months) and P.
Senior ML Backend Engineer
Senior ML Backend Engineer

Jobgether • India

On-site
INR 3,500,000 - 6,500,000
Advanced ML projects
Geospatial analytics exposure
Cloud-native infra
+2
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Recro • Hyderabad

On-site
INR 900,000 - 1,800,000
ML/AI Engineer
ML/AI Engineer

Lingaro • India

Hybrid
INR 1,500,000 - 2,500,000
Stable employment since 2008
Flexibility regarding working hours
Unlimited access to the Udemy learning platform
+2
AI/ML Developer (Data Scientist)
AI/ML Developer (Data Scientist)

United States Digital Space LLC • Karnataka

On-site
INR 1,800,000 - 3,200,000
ML Operations Engineer
ML Operations Engineer

Signify • Bengaluru

On-site
INR 900,000 - 1,300,000