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Role Overview

We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latest developments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a robust foundation in Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role in designing, architecting, and deploying full-stack AI solutions while leading and mentoring a team of junior and mid-level AI/ML engineers.

Key Responsibilities

- Lead the end-to-end architecture and execution of Gen AI and Agentic AI projects across diverse industry domains.
- Research, fine-tune, and deploy Large Language Models (LLMs) using techniques like RAG, LoRA, QLoRA, and other optimization strategies.
- Design and implement Visual AI and Computer Vision solutions including video analytics,

object detection, segmentation, and real-time processing.

- Build scalable, production-ready AI pipelines, including data ingestion, training, validation,

testing, monitoring, and deployment (MLOps / AIOps).

- Architect multi-modal systems combining NLP, vision, and structured data.
- Evaluate and integrate cutting-edge Gen AI tools, open-source frameworks, and foundation models.
- Collaborate with business stakeholders and translate functional requirements into scalable technical solutions.
- Mentor and manage a team of AI/ML engineers; provide architectural guidance,



code reviews, and skill development.
- Ensure model explainability, ethical AI practices, and performance benchmarking.
- Own delivery timelines, documentation, and innovation roadmaps for AI initiatives.

Required Skills & Experience:

- Minimum 7 years of hands-on experience in AI/ML, with at least 3+ years in Generative

AI and LLMs.

- Deep understanding and hands-on experience with:

o LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini)

o RAG pipelines, vector databases (e.g., FAISS, Pinecone, Weaviate)

o LoRA, QLoRA, model fine-tuning and distillation o Agentic AI frameworks (LangChain, AutoGPT, CrewAI, etc.)

- Proficiency in Computer Vision: OpenCV, YOLO, Detectron2, DeepStream, MediaPipe, etc.
- Experience with video processing pipelines, real-time streaming analytics, and model optimization.

��� Strong background in AI deployment: Docker, Kubernetes, MLflow, FastAPI, CI/CD for AI.

- Familiarity with MLOps / AIOps best practices, performance monitoring, logging, and version control.
- Expertise in Python, PyTorch/TensorFlow, Hugging Face Transformers.
- Experience with cloud platforms (AWS/GCP/Azure) and GPU environments.
- Strong leadership and communication skills – capable of translating complex concepts into team action.

📌 Gen AI Lead (Navi Mumbai)
🏢 Acura Solution
📍 Navi Mumbai