Lead Engineer - AI

Role overview

Lead Engineer - AI at Auriga IT Consulting Private Limited

We are seeking a Lead Engineer with strong expertise in Computer Vision and working knowledge of Generative AI .

This role requires a hands-on leader who can take ownership of delivering end-to-end AI solutions while guiding a team of 8–10 engineers.

The right candidate will balance technical depth, solution delivery, and people management .

Responsibilities

• End-to-End AI Delivery: Drive the entire lifecycle of AI solutions – requirement analysis, data preparation, model development, optimization, deployment, and monitoring in production environments.
• Computer Vision Solutions: Develop models for object detection, recognition, tracking, OCR, and video analytics.
• Optimize models for real-time performance (GPU/edge devices such as NVIDIA Jetson).
• Ensure robustness in challenging conditions (e.g., occlusion, lighting, class imbalance).
• Generative AI Applications: Integrate LLMs and multimodal AI for use cases like video summarization, natural language queries, automated insights, and incident reporting.
• Build practical workflows combining CV and GenAI (e.g., retrieval-augmented search across video data).
• Technical Leadership: Provide architectural guidance for AI pipelines (data ingestion → model inference → post-processing → serving).
• Establish coding standards, review best practices, and mentor junior engineers.
• Drive MLOps practices (CI/CD, model monitoring, drift detection, retraining strategies).
• Team Management: Lead and mentor a team of 8–10 engineers, fostering growth and accountability.
• Collaborate with product managers and stakeholders to translate business problems into measurable AI solutions.
• Ensure timely delivery with high technical quality.
• Innovation & Quality: Stay updated with emerging tools in CV and GenAI, evaluate applicability, and introduce best practices.
• Focus on scalability, cost optimization, and practical deployment challenges.

Required qualifications

• B.E./B.Tech/MCA in Computer Science, IT, or related field. -Experience: 5–10 years in AI/ML with preferably 2 years in a team lead role. -Technical Expertise: Computer Vision: Proficiency in frameworks like PyTorch, TensorFlow, and OpenCV.
• Experience with object detection (YOLO, Faster R-CNN), segmentation, OCR, or tracking algorithms.
• Generative AI: Exposure to LLM-based solutions (LangChain, RAG pipelines, or similar frameworks).
• Ability to integrate GenAI into CV workflows.
• Deployment & MLOps: Hands-on with APIs (FastAPI/Flask), containerization (Docker), orchestration (Kubernetes), model registries, and monitoring tools.
• Performance Optimization: Familiarity with GPU acceleration (CUDA, TensorRT, ONNX Runtime) and scaling inference for production workloads.
• Programming: Strong Python expertise; exposure to C++/CUDA is a plus. -Leadership Skills: Proven record of leading 6–10 member engineering teams.
• Ability to balance technical depth with delivery timelines.
• Strong communication and problem-solving skills.
• Why Join Us?
• Opportunity to lead impactful AI projects combining Computer Vision and Generative AI.
• Work with a talented engineering team in a high-growth environment.
• Exposure to cutting-edge technology while solving real-world problems at scale.
• About Company Hi there!
• We are Auriga IT.
• We power businesses across the globe through digital experiences, data and insights.
• From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact.
• Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more.
• We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life.
• Who Has not Dreamt of Working with Friends for a Lifetime Come Join In!
• Our Website

Employment details

• Location: Jaipur [RJ] [India]