AI Developer

Veeda CR; Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Veeda CR is seeking an AI/ML engineer to design, develop, and deploy generative AI models for text, image, and data generation tasks. The role requires tuning pre-trained models like GPT/LLaMA for business needs and integrating AI into enterprise applications.

You will collaborate with cross-functional teams to gather requirements, conduct testing and performance tuning, and document workflows and deliverables.

Qualifications

• Proficient in Python with practical experience in generative AI.
• Experience fine-tuning GPT/LLaMA-like models for business needs.
• Hands-on with Hugging Face, LangChain, RAG, and OpenAI APIs.
• Strong knowledge of ML/DL frameworks (TensorFlow, PyTorch, Keras).
• Experience deploying AI solutions on cloud platforms and using vector databases.

Responsibilities

• Design, develop, and deploy generative AI models.
• Implement AI/ML models for text, image, and data generation tasks.
• Fine-tune pre-trained models for business needs.
• Integrate Generative AI into web and enterprise apps.
• Collaborate with cross-functional teams to gather requirements and deliver AI solutions.
• Test, optimize, and tune AI models for performance.
• Document processes, workflows, and project deliverables.

Skills

Python

Hugging Face

LangChain

RAG

OpenAI API

GPT

LLaMA

MidJourney

TensorFlow

PyTorch

Keras

Azure AI

Google Vertex AI

AWS Bedrock

MySQL

PostgreSQL

Pinecone

FAISS

Weaviate

Git

Docker

Kubernetes

MLflow

REST APIs

Tools

Docker

Kubernetes

Git

FastAPI/Flask

Laravel backend

Job 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 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 (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: 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).