We're looking for a Machine Learning Engineer to join ourdynamic 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.

• 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.

Job Requirement:

• 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.