Job Description

AI/ML Architecture Development
Implement and deploy machine learning models in production settings
Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs)
Apply prompt engineering and retrieval-augmented generation (RAG) techniques
Build end-to-end ML workflows from data preprocessing to model evaluation
Contribute to the development of conversational AI solutions

Software Engineering Data Pipeline Development
Design, build, and maintain data pipelines and end-to-end ML workflows.
Build and deploy web services that integrate ML models
Implement APIs using frameworks like FastAPI or Flask
Work with databases (preferably MySql) and data processing tools
Ensure code quality, performance, and security in all implementations

Deployment Integration
Build production-grade ML models and APIs and deploy them on cloud platforms with the help of the DevOps team.
Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team

Collaboration




Work closely with cross-functional teams including data scientists and software engineers
Contribute to a culture of learning and innovation
Adapt to challenges even when requirements are ambiguous

Technical Requirements:

Programming Frameworks:
Robust proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem.
Experience with data science tools (pandas, NumPymatplotlib, scikit-learn)

Generative AI Expertise:
Knowledge of generative AI models and frameworks, including OpenAI APIs,
LangChain, LangGraph, Hugging Face Transformers, and related technologies.
Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar.
Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval,proc

📌 Ai / Ml Engineer Sahibzada Ajit Singh Nagar
🏢 VT Netzwelt
📍 Sahibzada Ajit Singh Nagar