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 up-to-date 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 software/data roles, inclu

📌 Lead AI ML Engineer (Pune)
🏢 Netscribes
📍 Pune