Lead AI / ML Engineer

Job Title : Lead Software Engineer – Machine Learning & AI Location : India (Remote / Hybrid) — Must be willing to work onsite in Dubai if required North Bay Solutions is seeking a highly experienced Lead Software Engineer with deep expertise in Machine Learning (ML) and Artificial Intelligence (AI) .The ideal candidate will have a strong background in NLP, LLMs, Computer Vision, and cloud-based ML services.This is a high-impact leadership role requiring hands-on technical skills, strategic thinking, and the ability to mentor and manage engineering teams.Requirements 12+ years of overall experience in software development, with at least 8 years focused on ML / AI.Proven experience in delivering 5 or more successful AI / ML projects involving : Model fine-tuning Foundational model training Vector embeddings Product integration Human-in-the-loop systems Multimodal architectures Strong hands-on expertise with : LLMs (e.g., GPT), Prompt Engineering, Chatbots, Vector Databases, Lang Chain NLP , Text Classification , Computer Vision , Object / Event Detection , Inference Pipelines Proficient in Python , Jupyter Notebooks , and ML libraries such as Num Py , pandas , Py Spark , Tensor Flow , Open CV , YOLO Experience with AWS ML Services : Sage Maker , Ground Truth , ECS , Cognito , Lambda , Cloud Watch , API Gateway , Postgre SQL (RDS) Ability to lead teams and mentor engineers in an Agile development environment Strong communication and stakeholder management skills AWS certification is a plus Willingness to travel and work onsite in Dubai if required Responsibilities Lead the architecture, design, and development of scalable AI / ML models and end-to-end pipelines.Drive innovation in NLP, LLMs, and computer vision solutions, aligning with business goals.Collaborate with product and engineering teams to integrate ML models into enterprise systems.Provide hands-on expertise in tuning, deploying, and monitoring models in production environments.Evaluate and implement appropriate frameworks and AWS tools for various ML / AI use cases.Manage, mentor, and grow a team of ML engineers and data scientists.Ensure model performance, code quality, and system reliability through continuous validation and optimization.Act as an internal consultant and thought leader in the ML / AI domain. #J-18808-Ljbffr