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

Benefits :

- Adaptable schedule
- Leave encashment
- Paid sick time
- Provident Fund

Work Location: In person

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