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Data Scientist
Job description
Job Title: Data Scientist - Generative AI Company: C5i Location: Bangalore, India Employment Type: Full-Time
Job Overview
C5i, a leading pure-play AI and Analytics provider, is seeking a talented and innovative Data Scientist with a specialisation in Generative AI to join our dynamic team in Bangalore. At C5i, we combine the power of human perspective with cutting-edge AI technology to deliver trustworthy intelligence and drive business impact for some of the world’s largest enterprises. As a Data Scientist, you will be at the forefront of developing next-generation AI solutions, working with multifunctional teams to solve complex challenges for our Fortune 500 clients across Technology, Media, Pharma, CPG, and Banking sectors. This is an exciting opportunity to contribute to our proprietary, industry-recognised platforms and shape the future of AI-assisted decision-making.
Responsibilities
- Design, develop, and deploy advanced Generative AI models, including Large Language Models (LLMs) and other deep learning architectures.
- Conduct research and implement state-of-the-art algorithms and techniques in Natural Language Processing (NLP), computer vision, and machine learning.
- Collaborate closely with business domain experts and technical teams to translate client requirements into robust, scalable AI solutions.
- Process, cleanse, and analyse large-scale datasets to train, fine-tune, and validate sophisticated models.
- Evaluate model performance, conduct rigorous testing, and iterate on solutions to ensure they meet the highest standards of accuracy and efficiency.
- Contribute to the enhancement of C5i’s proprietary suite of AI products, solutions, and accelerators.
- Stay abreast of the latest advancements and trends in the field of Generative AI and share knowledge with the wider team.
Qualifications
- Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.
- In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.
- Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.
- Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.
- Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.
- A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.
- Excellent analytical and problem-solving skills with a creative and innovative mindset.
- Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.
What We Offer
- The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.
- A supportive and collaborative work culture that fosters continuous learning and professional development.
- The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.


