Senior Machine Learning Engineer

Job Summary

We are seeking an experienced Senior Machine Learning Engineer to lead Proof of Concepts (POCs), design scalable ML solutions, drive end-to-end model development, and conduct thorough code reviews. The ideal candidate will combine strong technical expertise with architectural thinking and hands-on development capabilities to deliver high-quality, production-ready machine learning systems.

Key Roles & Responsibilities

• Lead and execute Proof of Concepts (POCs) to evaluate feasibility of ML/AI solutions
• Design and architect scalable, production-grade machine learning systems
• Develop, train, validate, and deploy machine learning models
• Write clean, efficient, and maintainable code following best practices
• Conduct code reviews to ensure quality, performance, scalability, and security
• Collaborate with data engineers, product teams, and stakeholders to translate business requirements into technical solutions
• Optimize model performance and ensure production monitoring and reliability
• Implement CI/CD pipelines for ML workflows
• Document technical designs, model decisions, and implementation details

Core Skills

• 8–12+ years of overall software development experience
• 5+ years of hands-on experience in Machine Learning / AI development
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn)
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Strong understanding of ML algorithms, model evaluation, and feature engineering
• Experience with model deployment and MLOps practices
• Familiarity with cloud platforms (AWS / Azure / GCP)
• Experience with Git-based version control and code review processes
• Strong problem-solving and communication skills

Nice to Have

• Experience with Generative AI / LLMs
• Experience building APIs (FastAPI / Flask)
• Experience with containerization (Docker, Kubernetes)
• Experience working in Agile/Scrum environments

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• Master's or Ph.D. in AI/ML/Data Science – preferred