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Northbay

Lead AI/ML Engineer

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India
India

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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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