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 modern 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, including 5+ years building machine learning systems and 2+ years leading or mentoring engineers.

Expert-level Python and strong software engineering fundamentals: testing, version control, code review, and clean, maintainable code.

Deep hands-on experience with contemporary deep-learning frameworks such as PyTorch and/or TensorFlow.

Proven delivery in Computer Vision detection, segmentation, classification, or OCR using libraries and frameworks such as OpenCV and current detection architectures.

Proven delivery in NLP using transformer models and the Hugging Face ecosystem.

Practical experience with LLMs and Generative AI, including fine- tuning, prompt engineering, and retrieval-augmented generation.

Strong MLOps experience with pipelines, model registries, containerization (Docker), and tools such as MLflow, Kubeflow, or equivalents.

Experience deploying ML on at least one major cloud platform (AWS SageMaker, Azure ML, or Google Vertex AI).

Excellent communication skills and the ability to explain technical trade-offs to non-technical and client stakeholders.

Publications, patents, or open-source contributions in CV, NLP, or applied ML.

Experience operating MLOps and ML platforms at scale, including Kubernetes-based serving.

Hands-on work with vector databases and large-scale semantic search.

Experience with multimodal models that combine vision and language.

Exposure to edge or on-device inference and model optimisation (quantisation, distillation, pruning).

Domain experience in market intelligence, healthcare, retail, manufacturing, or financial services.

Education: Graduates only (please ignore pursuing/drop out/12th or 10th pass). This job was posted by Akshay Patil from Netscribes.

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