Lead AI ML Engineer (Pune Division)

Responsibilities - Technical leadership: Own the design and delivery of CV and NLP solutions end-to-end, from problem framing and feasibility through model development, deployment, and monitoring. - Computer Vision: Build and optimise models for image and video classification, object detection, segmentation, OCR and document understanding, and visual search using contemporary deep-learning architectures. - Natural Language Processing: Develop solutions for text classification, named-entity recognition, summarisation, semantic search, and conversational AI using transformer models. - LLMs and Generative AI: Design and deliver applications built on large language models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and evaluation of GenAI outputs. - MLOps and productionization: Establish robust MLOps practices, reproducible training pipelines, model versioning, CI/CD for models, automated testing, monitoring, and drift detection. - Scalable deployment: Deploy models as scalable, low-latency services on cloud platforms (AWS, Azure, GCP), including containerised and, where needed, edge or GPU-optimized inference. - Data and evaluation: Partner with data engineering on data pipelines and labelling strategy, and define rigorous evaluation, benchmarking, and responsible-AI checks for every model. - Client engagement: Work directly with clients and solution architects to scope use cases, set realistic expectations, present results, and translate AI outcomes into business value. - Team leadership and mentoring: Lead, coach, and grow a pod of ML engineers and data scientists; run code and design reviews; and uphold engineering standards and best practices. - Applied research: Track advances in CV, NLP, and GenAI, run focused experiments, and bring proven techniques into Netscribes' delivery and innovation work. Requirements - Bachelor's or Master's Degree in Computer Science, Machine Learning, Data Science, or a related field. - 8+ years in soft .