AI / ML Engineer

AI/ML Architecture Development

• Implement and deploy machine learning models in production environments
• 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:

• Strong 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,processing, and response generation.

API Development:

• Experience in developing and deploying APIs using frameworks like FastAPI or Flask.

Qualifications:

• Bachelor s degree in Computer Science, Engineering or related field.
• 5+ years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.