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 NorthBay 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, LangChain NLP , Text Classification , Computer Vision , Object / Event Detection , Inference Pipelines Proficient in Python , Jupyter Notebooks , and ML libraries such as NumPy , pandas , PySpark , TensorFlow , OpenCV , YOLO Experience with AWS ML Services : SageMaker , Ground Truth , ECS , Cognito , Lambda , CloudWatch , API Gateway , PostgreSQL (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.

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