Job Description

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.