Lead Engineer

About the Role

Lead Engineer

Key Responsibilities:

End-to-End AI Delivery:

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:

-Education:

-Experience:

-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!

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