Veeda CR
AI Developer
- Compensation
- ₹350K–₹500K / yr
- Location
- Ahmedabad
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Nice to have
- 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 (Good 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.
- • 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.
Full description
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 profileRequired 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 (Good 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: (Pinecone, FAISS).