30 Jul
|
Burjline Builders
|
Bengaluru
30 Jul
Burjline Builders
Bengaluru
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 agile 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, p
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