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Urgent! C5i - Generative AI Engineer - Large Language Models Job Opening In Bengaluru – Now Hiring Course5i

C5i Generative AI Engineer Large Language Models



Job description

<p></p><p><b>About C5i :</b><br/><br/>C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence.

The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases.

</p><p><br/></p><p>At the core, C5is focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.<br/><br/>C5i caters to some of the worlds largest enterprises, including many Fortune 500 companies.

The companys clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors.

C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.<br/><br/><b>Required Skills :</b><br/><br/></p><p>- 3+years of experience in machine learning, deep learning, or Al research, With a focus on generative models.<br/><br/></p><p>- Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E) RAG and Prompt Engineering.<br/><br/></p><p>- Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).<br/><br/></p><p>- Strong programming skills in python and familiarity with relevant libraries and frameworks.<br/><br/></p><p>- Hands-on experience in building data applications using Streamlit or similar tools.<br/><br/></p><p>- Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections.<br/><br/></p><p>- Proficiency with Hugging Face Transformers, PyTorch or TensorFlow.<br/><br/></p><p>- Experience in training and deploying LLMs for tasks like text generation, summarization, or translation.<br/><br/></p><p>- Familiarity with AdamW, learning rate warm-up, and optimization strategies.<br/><br/></p><p>- Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA).<br/><br/></p><p>- Solid debugging and performance tuning skills.<br/><br/><b>Good-to-Have :</b><br/><br/></p><p>- Experience with Docker, Kubernetes, and MLOps.<br/><br/></p><p>- Knowledge of CI/CD pipelines and model deployment best practices.</p><br/><p></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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