Netscribes
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Pune · On-site · 5-8 Yrs · Aug 25
Business consulting · 501 to 1000 Employees · Mumbai, India
Netscribes is a market intelligence and content management firm with services across the research and information value chain. We provide research-driven solutions that help clients meet their growth objectives by transforming information into business advantage. With a 500+ member delivery team across Mumbai, Kolkata and Gurgaon, we have worked for several Fortune 500 corporations across the globe.
Hiring: Engineering
What employees say
+ Good work life balance and work environment.
− Limited personal and income growh.
More reviews on the company profile.
Interview experience · Language Translator
It was good experience and more importantly it was so easy to answer and it was a good company and assessment round is easy to answer they give time to answer
Very_easy difficulty · New Delhi · 96 reports
More interview insightsJob description
Overview
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.
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.
Qualifications
- Bachelor's or Master's Degree in Computer Science, Machine Learning, Data Science, or a related field.
- 8+ years in soft .
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