About the Role

We are looking for an experienced Data Scientist with strong hands-on expertise in Machine Learning, Deep Learning, GenAI, NLP, and Computer Vision. The ideal candidate will work on building, fine-tuning, deploying, and optimizing AI/ML solutions, including LLM-based applications, AI agents, RAG pipelines, and computer vision models.

You will work closely with engineering and cross-functional teams to take AI solutions from experimentation to production.

Key Responsibilities

- Design, develop, train, and optimize Machine Learning and Deep Learning models.
- Work with large-scale image, video, and text datasets, including data preprocessing and augmentation.
- Develop solutions using Python, PyTorch, TensorFlow, and other contemporary ML frameworks.
- Work with Transformers, RNNs, Transfer Learning, Vision Transformers (ViT), and fine-tuning techniques.
- Build and optimize NLP and Generative AI solutions.
- Develop RAG pipelines, agentic workflows, and AI agents using frameworks such as LangGraph.
- Design and optimize prompt engineering workflows for LLMs such as GPT, Claude, and LLaMA.
- Implement and optimize Computer Vision models, including CNN-based architectures and modern vision models.
- Apply MLOps best practices, including model versioning, CI/CD, automated deployment, monitoring, and model lifecycle management.
- Collaborate with engineering teams to productionize AI/ML models and applications.
- Follow enterprise-level AI security, governance, compliance,



and software development best practices.
- Analyze model performance and continuously improve accuracy, scalability, and efficiency.

Required Skills

- 4+ years of hands-on experience in Data Science / Machine Learning / AI.
- Strong programming skills in Python.
- Hands-on experience with PyTorch and/or TensorFlow.
- Strong understanding of Machine Learning and Deep Learning concepts.
- Experience with NLP, Transformers, LLMs, and Generative AI.
- Experience building RAG pipelines and agentic AI workflows.
- Hands-on experience with AI Agent frameworks, preferably LangGraph.
- Experience with prompt engineering and LLM fine-tuning.
- Strong understanding of Computer Vision, image/video processing, and deep learning architectures.
- Experience with MLOps, model deployment, versioning, and CI/CD pipelines.
- Strong knowledge of data preprocessing, feature engineering, model evaluation, and optimization.
- Experience working with Databricks and Azure.
- Good understanding of Linux/UNIX environments and command-line tools.
- Understanding of enterprise AI security, governance, and compliance.

Good to Have

- Experience with CNNs, Reinforcement Learning, and Vision Transformers (ViT).
- Experience working with multimodal AI models.
- Experience with model optimization and inference performance.
- Experience with cloud-based AI/ML platforms.
- Experience mentoring junior Data Scientists or ML Engineers.

📌 Data Scientist (Bengaluru)
🏢 RoundCircle
📍 Bengaluru