HCLTech—Technical Lead

Job description

Description: 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 null