Lead the development of AI/ML models and pipelines, mentor teams, drive innovation in NLP and computer vision, and manage project delivery.
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
- 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.
Top Skills
Api Gateway
Artificial Intelligence
AWS
Cloudwatch
Cognito
Computer Vision
Ecs
Ground Truth
Jupyter Notebooks
Lambda
Llms
Machine Learning
Nlp
Numpy
Opencv
Pandas
Postgres
Pyspark
Python
Sagemaker
TensorFlow
Yolo
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