AIML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, and Computer Vision
. The ideal candidate will lead AI-driven solution development, mentor team members, and collaborate with stakeholders to build scalable, intelligent, and high-performance applications.
Key Responsibilities:
Lead design, development, and deployment of AI/ML solutions leveraging
LLMs, RAG pipelines, and generative AI frameworks
.
Architect and implement end-to-end
machine learning workflows
, including data preprocessing, training, fine-tuning, evaluation, and deployment.
Build scalable applications using
Python frameworks
and integrate
AI models into production systems
.
Apply
computer vision and deep learning
techniques for image/video analytics, object detection, OCR, etc.
Optimize model performance, inference speed, and cost efficiency.
Stay updated with the latest advancements in
NLP, LLMs, transformers, and multimodal AI
.
Collaborate with cross-functional teams (Data Engineers, DevOps, Product Owners) for solution delivery.
Mentor and guide junior developers in
AI/ML best practices and coding standards
.
Required Skills & Experience:
7-13 years
of professional experience in software development with at least