Machine Learning Engineer

About ThoughtMinds:

ThoughtMinds is one of the fastest-growing AI-driven software product engineering firms leveraging its unique ‘Half AI + Half Human’ approach to building software. With over two decades of experience in driving digital transformation & product engineering solutions for global clients, we leverage our in-house accelerators to fast-track ROI.

We are seeking an experienced Machine Learning Engineer to design, develop, and deploy scalable machine learning models. The role involves end-to-end model development and close collaboration with engineering teams to bring ML solutions into production.

Key Responsibilities:

• Design, develop, train, and optimize machine learning models for real-world applications

• Work on end-to-end model development, including feature engineering, model evaluation, and performance tuning

• Build, deploy, and maintain scalable MLOps pipelines for CI/CD, model versioning, monitoring, and retraining

• Collaborate with data engineers and backend teams to integrate ML models into production systems

• Ensure reliability, scalability, and performance of ML solutions in production environments

• Stay updated with latest ML techniques, frameworks, and industry best practices

Required Skills:

• 4–7 years of hands-on experience in Machine Learning and applied ML systems

• Strong experience in model development and statistical learning techniques

• Practical knowledge of MLOps tools and workflows

• Proficiency in TensorFlow and PyTorch

• Solid understanding of data structures, algorithms, and software engineering best practices

• Experience with cloud platforms and containerization is a plus