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.
Solid 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:
Adaptable schedule
Leave encashment
Paid sick time
Provident Fund

Work Location: In person

📌 Ai/ml Engineer Ambli
🏢 technource
📍 Ambli