Description

You will engineer and deploy machine learning solutions in production environments.

This role is remote.

Responsibilities

• Design and implement scalable machine learning models.
• Develop and maintain ML pipelines using MLOps practices.
• Write production-ready, scalable code for model training and inference.
• Apply statistical methods to solve complex data problems.

Required Skills

• 5–10 years of experience in Machine Learning Engineering.
• Strong exposure to Azure Machine Learning and MLOps.
• Proficiency in Python and R for developing robust code.
• Experience with machine learning frameworks such as Keras or PyTorch.
• Hands-on experience with ML libraries like Scikit-learn.
• Deep knowledge of mathematics, probability, statistics, and ML algorithms.
• Understanding of data structures, data modeling, and software architecture.

Key Skills

Education

Any Graduate