We’re looking for a
Machine Learning Engineer
to join our dynamic AI/ML team.
You’ll build and enhance the intelligent systems and models that power our products.
You’ll work closely with data scientists, data engineers, and product teams to translate research prototypes into AI‐powered solutions that drive business value.
Responsibilities
Build ML Models:
Design, develop, and validate machine learning models for problems such as AI‐driven predictive maintenance, operational optimization, and AI agents.
Improve Models:
Fine‐tune models to make them more accurate and perform better.
Work with Data:
Collaborate with data engineers to get the right data ready for models and understand it well.
Deploy Models:
Help get models ready and put them into action so they can be used by our products or services.
Monitor Performance:
Keep an eye on how models are doing and fix any issues that come up.
Research & Learn:
Stay up‐to‐date with new ML techniques and find ways to apply them to our challenges.
Collaborate:
Work closely with other engineers, data scientists, and product managers.
Requirements
Experience:
5+ years of experience building and deploying machine learning models.
Coding:
Strong skills in Python and familiar with ML libraries like PyTorch, TensorFlow, or scikit‐learn.
ML Basics:
Good understanding of common machine learning algorithms (e.g., regression, classification, clustering).
Data Skills:
Able to work with data, including cleaning and preparing it for models.
Problem Solver:
Great at breaking down complex problems and finding solutions using ML.
Team Player:
Good communication skills and enjoy working with a team.
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