Senior Data Scientist

2 - 10 years

0 Lacs

Posted:16 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an experienced Python and Generative AI Developer, you will be responsible for designing, building, and deploying intelligent systems capable of generating text, images, code, or other content. You will collaborate closely with data scientists, ML engineers, and product teams to bring cutting-edge generative models to life in real-world applications. **Key Responsibilities:** - Design and develop generative AI models using libraries such as PyTorch, TensorFlow, or Hugging Face Transformers. - Fine-tune and deploy Large Language Models (LLMs) or Diffusion Models for text generation, image generation, and content summarization. - Integrate generative AI into applications using Python, RESTful APIs, and front-end tools like Streamlit and Gradio. - Implement prompt engineering techniques and optimize inference performance. - Collaborate with cross-functional teams to gather requirements, define architecture, and deploy solutions in production environments. - Maintain codebase quality through testing, documentation, and code reviews. - Stay up-to-date with the latest trends and research in generative AI and apply them to product innovation. **Qualifications Required:** - Your proficiency in Python and experience with Python ML/DL libraries such as NumPy, Pandas, scikit-learn, PyTorch or TensorFlow will be essential. - Hands-on experience with Generative AI frameworks like Hugging Face Transformers, OpenAI GPT/DALLE/Codex, Stable Diffusion, GANs, or VAEs is required. - Experience working with REST APIs, building Python-based services, familiarity with prompt engineering, LLM orchestration tools, and a strong understanding of deep learning fundamentals are necessary. **Additional Details:** Nice-to-have qualifications include experience with Docker, Kubernetes, CI/CD pipelines, cloud services (AWS/GCP/Azure), Agentic Workflow, Portkey, and knowledge of ethical AI and model safety principles. **Company Benefits:** - Food provided - Health insurance If you meet the requirements, please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930. *Schedule:* - Day shift - Monday to Friday *Work Location:* In person,

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