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Netscribes - Lead AI/ML Engineer - Computer Vision & NLP

NETSCRIBES DATA INSIGHTS
6 - 8 Years
Pune

Posted on: 15/07/2026

Job Description

About Netscribes :

Netscribes is a global leader in data, insights, and digital solutions, helping the world's largest organizations accelerate growth and innovation. As a growth catalyst, we empower sales, marketing, product development, and strategy through a unique blend of domain expertise and technological capabilities.

Role : Lead AI / ML Engineer (Computer Vision & NLP)

Designation : Senior Manager

Employment Type : Permanent

Work Mode : Hybrid

Key Responsibilities :


- Architect and develop end-to-end computer vision and NLP pipelines to automate data extraction and insight generation for diverse business use cases.


- Lead the implementation of Generative AI models to enhance content synthesis and predictive analytics capabilities, ensuring competitive advantage for our clients.


- Design and maintain MLOps workflows to streamline model training, versioning, and deployment, reducing time-to-market for new AI features.


Requirements :


- Technical leadership : Own the design and delivery of CV and NLP solutions end to end.

- Computer Vision : Build and optimize models for image and video classification, object detection, segmentation, OCR and document understanding, and visual search.

- Natural Language Processing : Develop solutions for text classification, named-entity recognition, summarization, semantic search, and conversational AI.

- LLMs & Generative AI : Design and deliver applications built on large language models, including prompt engineering, fine-tuning, RAG, and evaluation.

- MLOps & productionization : Establish robust MLOps practices.

- Scalable deployment : Deploy models as scalable, low-latency services on cloud platforms (AWS, Azure, GCP).

- Data & evaluation : Partner with data engineering on data pipelines and labeling strategy.

- Client engagement : Work directly with clients and solution architects to scope use cases.

- Team leadership & mentoring : Lead, coach, and grow a pod of ML engineers and data scientists.

- Applied research : Track advances in CV, NLP, and GenAI.

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