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Generative AI Engineer - LLM/Machine Learning Job Opening In India, India – Now Hiring IT AISA


Job description

<p>We are looking to onboard a GenAI/ML engineer who will drive the development of GenAI activities globally and bring expertise to leverage Large Language Models (LLMs) across languages and modalities for clients' AI-driven products.<br/><br/> You will be responsible for :<br/><br/>- Building and integrating generative AI applications for customer interactions by using LLMs and orchestration frameworks.<br/><br/>- Driving the design, development, and scaling of internal AI agents and customer-facing agentic solutions such as GenAI-powered Contact Centers.<br/><br/>- Designing and deploying custom solutions on AWS Bedrock by using foundation models from leading providers.<br/><br/>- Fine-tuning and evaluating large language models by using proprietary and external datasets.<br/><br/>- Building scalable APIs and backend services to support real-time AI inference.<br/><br/>- Ensuring reliability, privacy, and accuracy of Gen AI responses by applying testing and monitoring tools.<br/><br/>- Contributing to governance efforts by ensuring generative AI solutions follow responsible AI principles, including transparency, data privacy, and compliance with industry standards.<br/><br/>- Working with the data science team to apply generative AI to other business areas, including document processing, claims decisioning, and reporting.<br/><br/>- Supporting the Client's Global GenAI roadmap, bringing expert insights on the technology to adopt.<br/><br/> You will require the following qualifications and skills :<br/><br/>- 6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.<br/><br/>- Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.<br/><br/>- Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.<br/><br/>- Hands-on experience of MLOps and LLMOps is desired.<br/><br/>- Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.<br/><br/>- Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.<br/><br/>- Experience with Cloud technology, preferably AWS.<br/><br/>- Experience with Voice Conversational AI will be a big plus.<br/><br/> Note: This is a remote freelancing opportunity ( 9 am 6 pm, full office hours, and this role is fully remote).<br/><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Generative AI Potential: Insight & Career Growth Guide


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