AI/ML Engineer

Job Description

Role Summary:

We are seeking a highly skilled and hands-on AI/ML Engineer with 3+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines.

Key Responsibilities:

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.

• 3 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.