Job Description
About Augment Professional Services (APS) Augment Professional Services (APS) delivers specialized talent, consulting expertise, and project support to organizations operating in complex technical environments. Our teams partner with clients across the Technology, Energy, Utilities, and EPC sectors to support critical initiatives in digital transformation, data and analytics, infrastructure modernization, and engineering delivery . Through a flexible services model that includes managed services, project-based delivery, and embedded technical expertise , APS helps organizations accelerate innovation, scale capabilities, and execute high-impact initiatives with confidence. Position Overview We are seeking a Principal Data Scientist with deep expertise in Artificial Intelligence, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision (CV), and Generative AI . This role will serve as a technical leader and architect of AI-driven solutions , responsible for designing, building, and deploying advanced machine learning systems that deliver measurable business impact. The ideal candidate brings both strong technical depth and the ability to translate complex AI methodologies into real-world applications. The Principal Data Scientist will work closely with cross-functional stakeholders, engineers, and leadership to drive innovation through scalable AI solutions and production-ready machine learning systems. Key Responsibilities Include Designing and developing advanced machine learning and deep learning models Building solutions leveraging Large Language Models (LLMs), Generative AI, NLP, and Computer Vision Architecting scalable AI and ML pipelines from experimentation through production deployment Developing and optimizing models through fine-tuning, prompt engineering, and inference optimization Building end-to-end machine learning workflows including data ingestion, feature engineering, training, evaluation, deployment, and monitoring Translating complex data science methodologies into actionable insights and business strategies Partnering with business leaders to identify opportunities where AI can drive innovation and operational efficiency Communicating technical concepts and model outcomes to both technical and non-technical stakeholders Mentoring data scientists and helping establish best practices for model development and MLOps