Sr. Data Scientist
UST (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of data science models focusing on deep learning, computer vision, NLP, and generative AI applications.
- Manage large-scale image and video datasets including data preprocessing, augmentation, and model fine-tuning leveraging frameworks like TensorFlow, PyTorch, and LangGraph.
- Develop and optimize AI agent workflows, prompt engineering for large language models, and ensure adherence to AI security, compliance, and MLOps best practices within Azure and Databricks environments.
Minimum Requirements
- 7–10 years overall IT experience with at least 6 years hands-on data science experience.
- Bachelor’s or Master’s degree in Computer Science, Electronics & Communication, Electrical Engineering or related discipline; Master’s with specialization in AI/Deep Learning/Computer Vision preferred.
- Strong Python programming skills and practical experience with deep learning frameworks such as TensorFlow and PyTorch.
- Experience with NLP techniques, CNNs, reinforcement learning, transformer architectures, and cloud platforms especially Databricks and Azure.
Ideal Candidate Profile
- Experienced with advanced AI technologies including transformer models (ViT), agentic AI, RAG pipelines, and generative AI workflows indicating senior expertise in AI innovation.
- Comfortable working in UNIX/Linux environments with command-line scripting alongside sophisticated MLOps pipelines and enterprise AI governance.
- Proven ability to design, deploy, and maintain scalable AI solutions in a cloud ecosystem (Azure/Databricks) within complex organizational contexts.