The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
Requirements
What you will bring to the role
- Education: Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field
- Experience: 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field
- Technical Skills:
- Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX)
- Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray)
- Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments
- Strong architectural design skills for complex data pipelines and scalable AI inference systems
- Proficiency in system design, distributed systems, and performance optimization
- Ability to critically evaluate and apply academic research to real-world problems
- Soft Skills:
- Strong ownership and accountability for assigned work
- Clear and professional verbal and written communication
- Effective time management and task prioritization
- Analytical thinking and problem-solving skills
- Ability to work independently, collaborate effectively and mentor junior team members
- Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
- Adaptability and learning agility in a fast-paced environment
- Strong attention to detail and a commitment to quality
- Receptiveness to feedback and continuous improvement mindset
