Design, build, train, and optimize machine learning and deep learning models for production use
Lead the deployment of ML models into scalable, reliable production systems
Architect training, inference, and evaluation pipelines for structured and unstructured data
Own model performance, reliability, scalability, and lifecycle management
Drive experimentation, model iteration, and performance benchmarking
Implement and maintain high-quality ML codebases primarily in Python
Monitor, debug, and improve live production models
Collaborate with platform, backend, and infrastructure teams on system integration
Contribute to technical direction, architecture decisions, and AI roadmap planning
Mentor junior engineers and support team-level technical excellence

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field
7+ years of professional experience in AI/ML, data science, or applied machine learning roles
Proven experience deploying ML systems into production environments
Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management
Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Strong proficiency in Python
Experience designing scalable ML systems and pipelines
Ability to operate independently and take technical ownership of complex systems
Strong problem-solving, architecture, and system-design skills

Senior AI/ML Engineer

Key skills