Data Scientist - Generative AI & Advance
- Hinduja Global
- 3 to 7 Yrs
- Indore
- 4 months ago
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Job Description
- Job Title : Data Scientist (Generative AI & Advanced Analytics) About HGS Digital At HGS Digital, we are at the forefront of digital transformation, delivering innovative AI-driven solutions that create business value. Our 500+ strong team of experts in strategy, data science, software engineering, and creative solutions is dedicated to driving impact at scale. Job Summary As a Generative AI Data Scientist, you will focus on designing and deploying state-of-the-art generative models (such as Stable Diffusion, GPT, and GANs) and integrating them with Retrieval-Augmented Generation (RAG) techniques. This role combines advanced AI with traditional statistical methods, enabling cutting-edge business solutions. Roles & Responsibilities Model Development : Build and fine-tune generative models (Stable Diffusion, GANs, transformers) for text, image, and multimodal data generation. RAG Implementation : Implement RAG-based approaches to enhance model performance by incorporating external knowledge into generative processes. Advanced Analytics : Integrate traditional machine learning and statistical methods for model optimization and evaluation. Cloud & Deployment : Scale and deploy models using cloud platforms (AWS, Azure, GCP) and manage integration with APIs. Collaboration & Communication : Work with stakeholders to define business objectives and communicate findings through clear, actionable insights. Key Qualifications & Skills Education : Bachelor's or Masters in Mathematics, Computer Science, Data Science, or a related field. Experience : Hands-on experience with Generative AI (e.g., Stable Diffusion, GPT, GANs), including working with RAG models. Technical Skills Proficiency in Python, R, SQL, and cloud platforms (AWS, GCP, Azure). Familiarity with generative models (Stable Diffusion, GPT, GANs, VQ-VAE) and RAG techniques. Strong foundation in traditional ML algorithms (regression, classification, clustering). Experience with MLOps and model deployment pipelines. Tools : Experience with model training frameworks like Hugging Face, TensorFlow, PyTorch, and tools for text-to-image and multimodal AI Qualifications : RAG : Practical experience with Retrieval-Augmented Generation for improving model accuracy and contextual understanding. Multimodal AI : Expertise in multimodal model development (e.g., combining text, image, and video generation). Industry Experience : Familiarity with business applications of generative AI in domains like pharmaceuticals, media, or e-commerce. Additional Skills : Knowledge in advanced statistical techniques, NLP, and data integration. (ref:hirist.tech),
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Data Scientist - Generative AI & AdvanceContact Details:
Company: Hinduja GlobalLocation(s): Indore
Keyskills: Python R SQL AWS GCP Azure Regression Classification Clustering NLP Data Integration TensorFlow PyTorch
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