IMPORTANT: Applications are accepted ONLY via our official website.

Key Responsibilities & Requirements
- Manage end-to-end model lifecycle:data preparation, preprocessing, augmentation, training, validation, deployment, and monitoring.
- Build and optimize RAG-based architectures by integrating LLMs (e.g., GPT, LLaMA) with vector databases and external data sources.
- Develop and deploy accurate face recognition systems (e.g., FaceNet, ArcFace) and object detection with liveness detection.
- Deploy models using REST APIs, Docker, Kubernetes, and MLOps tools for scalable, production-grade solutions.
- Ensure real-time performance of AI models in production systems, including edge deployment when required.
- Strong skills in Python, OpenCV, NumPy, and either PyTorch or TensorFlow.
- Excellent debugging, optimization, and problem-solving skills on real-world datasets.
- Familiarity with model optimization techniques and performance scaling is a plus.

How to Apply:
- Applications submitted via Indeed will not be reviewed.

Pay: ₹250,000.00 - ₹600,000.00 per year

Perks:
- Flexible schedule
- Leave encashment
- Paid sick time
- Provident Fund

Work Location: In person

📌 Ai/ml Engineer (Ambli)
🏢 Technource
📍 Ambli