Data Scientist

Number of Positions: 2

Experience: 8-12 Years

Work Location: Bangalore

Work Mode: Hybrid Work from Office 3 Days per Week

Role Overview:

We are looking for an experienced Data Scientist with strong expertise in Data Science, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI. The ideal candidate should have hands-on experience developing and deploying AI/ML solutions using Python and modern AI frameworks, with strong exposure to large-scale image and video datasets.

Key Responsibilities:

- Design, develop, train, and deploy advanced Machine Learning and Deep Learning models.

- Work extensively with Python, TensorFlow, and PyTorch for AI/ML development.

- Perform data preprocessing, feature engineering, and management of large-scale image and video datasets.

- Develop solutions using Transformer architectures, RNNs, Transfer Learning, and Vision Transformers (ViT).

- Work on NLP, LLM fine-tuning, Generative AI, and RAG-based solutions.

- Build and implement AI agents using frameworks such as LangGraph.

- Develop prompt engineering strategies for LLMs including GPT, Claude, and LLaMA.

- Design and implement agentic workflows and enterprise-grade AI solutions.

- Implement MLOps practices including model versioning, CI/CD, automated deployment, monitoring, and model lifecycle management.

- Ensure AI solutions comply with enterprise security, governance, privacy, and compliance requirements.

- Work with Databricks and Azure Cloud for large-scale data processing and AI/ML workloads.

- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

Required Skills:

- 8+ years of overall IT experience with strong hands-on experience in Data Science.

- Strong programming expertise in Python.

- Hands-on experience with TensorFlow and/or PyTorch.

- Strong experience in NLP is mandatory.

- Strong understanding of Transformer Architectures, RNNs, Transfer Learning, Vision Transformers (ViT), and LLM Fine-Tuning.

- Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.

- Experience building AI agents using LangGraph or similar frameworks.

- Strong prompt engineering experience with LLMs such as GPT, Claude, and LLaMA.

- Strong experience in Databricks and Azure Cloud.

- Good understanding of MLOps, CI/CD, model versioning, and automated deployment.

- Experience working with UNIX/Linux environments.

- Understanding of enterprise AI security, governance, and compliance.

Preferred Qualifications:

- Experience handling large-scale image and video datasets.

- Experience designing enterprise-grade AI/ML platforms.

- Strong analytical and problem-solving abilities.

- Excellent communication and stakeholder management skills.

- Ability to work effectively with cross-functional teams.