Description

You will design, build, and deploy machine learning models and AI solutions to solve real-world problems.

This role is on-site.

Responsibilities

• Develop, test, and optimize machine learning models for classification, regression, clustering, or recommendation tasks.
• Implement machine learning algorithms and neural networks using TensorFlow, PyTorch, and scikit-learn.
• Deploy trained models into production environments using APIs, Docker, or cloud services like AWS, GCP, or Azure.
• Monitor model performance, detect drift, and implement retraining strategies to maintain accuracy.
• Collaborate with data management teams to collect, clean, and preprocess large datasets for training.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Bachelor's degree in Computer Science.
• Proficiency in Python and C++.
• Hands-on experience with PyTorch and implementing neural networks.
• Hands-on experience with AWS.
• Knowledge of Angular.
• Ability to deploy models using containers like Docker.
• Experience implementing machine learning algorithms.

Preferred Skills

• Experience building automated MLOps pipelines for continuous integration, delivery, and model retraining.
• Ability to document models, processes, and experiments to ensure reproducibility and scalability.

Key Skills

Education

Bachelor's degree in Computer Science