Lead the end-to-end design, development, and deployment of advanced machine learning models for production environments
Build and maintain robust data processing pipelines for training, evaluation, and inference
Collaborate closely with data scientists, software engineers, and product managers to define ML requirements and deliver impactful solutions
Optimize models for performance, accuracy, and efficiency through iterative experimentation and tuning
Integrate ML solutions seamlessly into existing applications and services
Implement best practices in ML engineering, including reproducibility, version control, and monitoring
Stay informed about emerging ML/AI technologies and assess their potential for integration
Mentor junior engineers to strengthen the team’s technical capabilities
Contribute to architectural planning and strategic decision-making for AI/ML initiatives

5+ years of experience in machine learning engineering or applied AI
Strong proficiency in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Proven track record of building, deploying, and optimizing ML models in production environments
Strong understanding of data processing workflows and software engineering best practices
Strong knowledge of SQL database systems
Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines
Excellent problem-solving, communication, and collaboration skills
Upper-Intermediate level of spoken and written English

Senior/Principal Machine Learning Engineer

Key skills