Job Summary

AI Engineer – Machine Learning & Generative AI

Location: Hybrid/Remote
Experience: 5-10 Years

Role Overview

We are seeking a skilled AI Engineer with strong Machine Learning and Generative AI experience to design, develop, and deploy AI solutions at scale. The ideal candidate will have hands-on expertise in ML model development, LLM-based applications, Agentic AI, and MLOps practices.

Key Responsibilities

• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build and implement Generative AI applications using LLMs, RAG, and AI agents.
• Design and optimize data pipelines, feature engineering, and model training workflows.
• Develop document intelligence, classification, prediction, recommendation, and NLP solutions.
• Implement model monitoring, evaluation, and MLOps best practices.
• Collaborate with data scientists, architects, and business stakeholders to deliver AI-driven solutions.

Skill Requirements

• 5-10 years of experience in AI/ML development.
• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with Python, Scikit-learn, TensorFlow, PyTorch, and Pandas.
• Experience building applications using Azure OpenAI, OpenAI, Claude, Gemini, or Llama models.
• Knowledge of RAG, vector databases, prompt engineering, and Agentic AI frameworks.
• Experience with Azure, AWS, or GCP cloud platforms.
• Understanding of MLOps, CI/CD, Docker, Kubernetes, and model lifecycle management.

Preferred Skills

• Experience with Azure AI Foundry, Azure AI Search, and Document Intelligence.
• Familiarity with LangChain, LangGraph, Semantic Kernel, or AutoGen.
• Experience in production deployment of AI/ML solutions.
• Azure AI Engineer or related cloud certifications.

Ideal Candidate: A hands-on AI Engineer with a strong ML foundation and practical experience delivering production-grade Generative AI and Agentic AI solutions that drive measurable business impact.

Other Requirements