AI Engineer

About This Role

An AI Engineer designs, builds, and operationalizes artificial intelligence and machine learning solutions for enterprise clients. This role combines custom models with cloud and third-party AI services to deliver production-ready outcomes, spanning the full solution lifecycle from assessing client needs and data to ensuring quality and reliability of deployed systems.

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 to support model training and production with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on business needs, data availability, system and infrastructure requirements, including edge device and HPC
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Requirements

• Bachelor's Degree or equivalent
• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing
• Considerable experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• Some experience in building and deploying AI/ML based software to a cloud environment

Nice to have:

• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications
• Experience with the following programming languages: Python, C++, Java, R, SQL
• Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders