AI Engineer

About the role

As an AI/ML Computational Scientist you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes.

Key responsibilities

• Formulate real‑world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines with DevOps & MLOps.
• Customize and apply Deep Learning and Generative AI models for various use cases, including edge devices and high‑performance computing.
• Engage in research and development of new AI and high‑performance compute algorithms, models, and simulations.
• Work with large‑scale datasets, implement data storage and retrieval mechanisms, and justify model value to business problems.

Required profile

• Bachelor's degree or equivalent in a relevant field.
• Proven experience as a machine learning engineer or scientist deploying models at scale, including monitoring and auditing.
• Professional experience with distributed computing systems, big data, HPC, cloud or grid environments.
• Strong client‑facing communication skills in a consulting environment.

Required skills

• Python
• TensorFlow
• PyTorch
• C++
• Java
• R
• SQL
• LLM APIs (large language model interfaces)
• DevOps / MLOps pipelines for cloud deployment