Role & responsibilities

- Work on the design, development, and deployment of Generative AI models.
- Implement AI/ML models for text, image, and data generation tasks
- Fine-tune pre-trained models (e.g., GPT, Claude, LLaMA, Stable Diffusion, etc.) for business-specific needs.
- Integrate Generative AI solutions into web and enterprise applications.
- Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions.
- Conduct testing, optimization, and performance tuning of AI models.
- Document processes, workflows, and maintain project deliverables.

Preferred candidate profile

Required Skills & Tools:

- Programming Languages: Python (mandatory), basic knowledge of JavaScript/PHP (plus).
- Generative AI Frameworks: Hugging Face, LangChain, RAG (Retrieval Augmented Generation).
- ML/DL Libraries: TensorFlow, PyTorch, Keras.
- Generative Models: GPT, LLaMA, Stable Diffusion, DALL•E, MidJourney (experience in at least one).
- Cloud Platforms: Azure AI, Google Cloud Vertex AI, AWS Bedrock/OpenAI APIs.
- Databases: MySQL/PostgreSQL, Vector DBs (Pinecone, FAISS, Weaviate).
- Version Control: Git/GitHub.




- MLOps Tools (Valuable to have): MLflow, Docker, Kubernetes.

Soft Skills:

- Strong problem-solving ability and logical thinking.
- Good communication and documentation skills.
- Ability to work independently and in a team environment.
- Eagerness to learn and adapt to new AI trends.

Nice-to-Have:
- Experience with REST APIs and microservices.
- Exposure to prompt engineering and AI ethics/compliance.

Tools & Technologies Candidate Should Know (for Generative AI Project Development)

- Programming: Python (must), optionally JavaScript/PHP for integration.
- Generative AI Libraries: Hugging Face, LangChain, OpenAI API, LLaMA models.
- ML Frameworks: TensorFlow, PyTorch.
- Databases: SQL + Vector DB (Pinecone, FAISS).
- Cloud AI Services: Google Vertex AI, Azure AI, AWS Bedrock.
- MLOps Tools: MLflow, Docker, GitHub Actions.
- Integration Tools: REST APIs, FastAPI/Flask, Laravel backend for enterprise integration.
- Visualization: Power BI / Streamlit / Dash (optional for dashboards).

📌 AI Developer (Ahmedabad)
🏢 Veeda CR
📍 Ahmedabad