Senior Data Scientist(GenAI) smartData Enterprises
smartData Enterprises
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Maharashtra
Skills: Python, Flask, Docker, Kubernetes, aws, GCP, Azure, Ml, Generative Ai, PyTorch, Tensorflow, Hugging Face Transformers, OpenAI GPT, DALLE, Codex, Stable Diffusion, GANs, VAEs, REST APIs, FastAPI, CICD pipelines, SageMaker, Vertex Ai
About SmartData Enterprises
Job Description
We are looking for an experienced Python and GenAI Developer. Below are the details- - Job Summary: We are looking for a skilled Generative AI and Python Developer to design, build, and deploy intelligent systems capable of generating text, images, code, or other content. You will work 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 use cases like text generation, image generation, and content summarization. Integrate generative AI into applications using Python, RESTful APIs, and front-end tools (e.g., Streamlit, 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. - Required Skills: Proficiency in Python and experience with Python ML/DL libraries (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow). Hands-on experience with Generative AI frameworks such as: Hugging Face Transformers OpenAI GPT / DALLE / Codex Stable Diffusion or other diffusion models GANs or VAEs Experience working with REST APIs and building Python-based services (Flask, FastAPI). Familiarity with prompt engineering and LLM orchestration tools (LangChain, LlamaIndex is a plus). Strong understanding of deep learning fundamentals and model evaluation. - Nice-to-Have: Experience with Docker, Kubernetes, and CI/CD pipelines. Familiarity with cloud services (AWS/GCP/Azure), especially for ML (e.g., SageMaker, Vertex AI). Experience with Agentic Workflow and Portkey. Knowledge of ethical AI and model safety principles. - Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, AI/ML, or a related field. [2-10+ years] experience working on ML or AI projects (open to portfolios and GitHub repos). Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930. Job Types: Full-time, Permanent Benefits: Food provided Health insurance Schedule: Day shift Monday to Friday Work Location: In person,