Responsibilities
We are seeking an experienced Team Lead – AI to lead the design, development, and deployment of cutting-edge AI solutions across enterprise products. The ideal candidate will have strong expertise in Deep Learning, Large Language Models (LLMs), Computer Vision, and NLP, along with proven leadership experience in building and managing high-performing AI teams.
This role involves transforming traditional software systems into AI-driven intelligent platforms, driving innovation across multimodal AI, automation, and large-scale data systems.
Key Responsibilities
- Technical Leadership Lead the end-to-end development of AI solutions: from data collection → model development → deployment. Architect scalable AI systems using LLMs, deep learning, and multimodal models. Design and implement production-grade ML pipelines and AI-driven product features. Guide the team in selecting appropriate models, architectures, and training strategies.
- LLM & Generative AI Systems Design and deploy LLM-based applications (RAG pipelines, chatbots, agents). Work with open-source and proprietary models (e.g., LLaMA, Mistral, Qwen, etc.).
Implement
Retrieval-Augmented Generation (RAG)
Prompt engineering & fine-tuning
Token streaming and real-time inference systems
Optimize models for latency, cost, and performance in production.
- Computer Vision & Multimodal AI Develop and deploy computer vision models for detection, recognition, and document understanding. Build multimodal pipelines combining text, image, and audio inputs. Work with OCR systems and document intelligence workflows.
- Data Engineering & Model Training Handle large-scale datasets (structured & unstructured).
Design Data Pipelines For
ETL processes
Feature engineering
Dataset curation and annotation
Train Models Using Best Practices
Distributed training
Mixed precision (FP16)
Efficient fine-tuning techniques
- System Architecture & Deployment
Build Scalable Backend Systems Using
FastAPI / Python frameworks
Docker-based deployments
GPU-based inference systems
Work With
Databases (SQL/NoSQL)
Vector databases (FAISS, etc.)
Message queues & async processing (Celery, Redis)
- Product Development & Innovation
Collaborate With Product And Business Teams To
Identify AI use cases
Translate requirements into AI solutions
Drive Innovation In
Automation platforms
Intelligent document processing
Predictive analytics systems
- Team Leadership & Mentorship Lead and mentor a team of AI engineers, data scientists, and interns. Conduct technical reviews and ensure code/model quality.
Train Junior Engineers In
AI/ML fundamentals
Python programming
Industry best practices
Manage task allocation, timelines, and delivery.
- Research & Continuous Learning Stay updated with state-of-the-art research in AI/ML. Evaluate and integrate new models, tools, and frameworks. Encourage research-driven development and experimentation.
Desired Candidate Profile
Education
PhD / Master's in Computer Science, AI, Data Science, or related field (preferred)
Experience
8+ years in AI/ML development
2+ years in team leadership or technical lead role
Proven experience in deploying AI solutions to production
Technical Skills
Core AI/ML
Deep Learning (PyTorch / TensorFlow)
NLP & LLMs
Computer Vision
Classification, regression, and anomaly detection
LLM & GenAI
Transformers, Hugging Face ecosystem
RAG pipelines
Fine-tuning and prompt engineering
Programming
Python (mandatory)
Experience with C++ or other languages is a plus
Frameworks & Tools
PyTorch, Transformers, Scikit-learn
FastAPI / Flask
Docker, Git
Data & Infrastructure
SQL / PostgreSQL / MySQL
Redis, vector DBs (FAISS)
Cloud platforms (AWS/GCP/Azure) – optional but preferred
Preferred Skills
Experience in multimodal AI systems (text + image + audio)
Knowledge of custom model training and optimization
Exposure to edge AI / TinyML
Experience in custom enterprise AI products
Understanding of security, RBAC, and scalable system design
Key Projects You May Work On
AI-powered document processing systems
LLM-based enterprise chat assistants
Predictive analytics and anomaly detection platforms
Multimodal AI applications (text, audio, image)
Intelligent automation for business workflows
Soft Skills
Strong leadership and communication skills
Problem-solving mindset with research orientation
Ability to work in fast-paced, product-driven environments
Ownership and accountability for deliverables
What We Offer
Opportunity to work on cutting-edge AI technologies
High-impact role influencing product direction
Collaborative and innovation-driven environment
Access to real-world large-scale datasets and problems
Bonus (Nice to Have)
Research publications in AI/ML
Experience mentoring teams or conducting training programs
Contributions to open-source AI projects
Back
