Senior AI Engineer

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:

o    Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).

o    Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).

o    Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.

o    Strong architectural design skills for complex data pipelines and scalable AI inference systems.

o    Proficiency in system design, distributed systems, and performance optimization.

o    Ability to critically evaluate and apply academic research to real-world problems.

·       Soft Skills:

o    Strong ownership and accountability for assigned work.

o    Clear and professional verbal and written communication.

o    Effective time management and task prioritization.

o    Analytical thinking and problem-solving skills.

o    Ability to work independently, collaborate effectively and mentor junior team members.

o    Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.

o    Adaptability and learning agility in a fast-paced environment.

o    Strong attention to detail and a commitment to quality.

o    Receptiveness to feedback and continuous improvement mindset.