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Urgent! Emorphis Technologies - Generative AI Architect - LLM - Local Job Opening in Indore

Emorphis Technologies Generative AI Architect LLM



Job description

<p><p><b>Lead AI/ML Engineer<br/><br/></b><b>Experience</b> : 8+ Years<br/><br/><b>Location : Indore (Work from Office)</b><br/><br/><b>Notice Period : Immediate Joiners / Up to 15 Days<br/><br/></b>We are seeking a highly skilled Lead AI/ML Engineer to spearhead the design, development, and deployment of Generative AI (GenAI) and Large Language Model (LLM)-based solutions.

The ideal candidate will have strong expertise in advanced AI frameworks, cloud platforms, and building scalable agentic systems that transform enterprise applications.<br/><br/><b>Key Responsibilities : </b></p><p><br/></p><p>- Architect and implement GenAI-powered solutions leveraging LLMs and multimodal AI models.<br/><br/></p><p>- Lead end-to-end development of intelligent, scalable, and secure AI systems.<br/><br/></p><p>- Build, fine-tune, and deploy LLMs for enterprise-grade applications.<br/><br/></p><p>- Drive innovation in agentic systems, knowledge graphs, and conversational AI.<br/><br/></p><p>- Collaborate with cross-functional teams (Data, Cloud, Product, Business) for AI adoption.<br/><br/></p><p>- Ensure compliance with ethical AI, privacy, and governance frameworks.<br/><br/></p><p>- Contribute to AI/ML best practices, research, and open-source initiatives.<br/><br/></p><p>- Mentor and guide junior AI/ML engineers.<br/><br/><b>Skills Required : </b></p><p><br/></p><p>- 8+ years of overall experience in AI/ML with 3+ years in Generative AI & LLMs.<br/><br/></p><p>- Strong expertise in machine learning, deep learning, NLP, and computer vision.<br/><br/></p><p>- Hands-on experience with transformer models (GPT, BERT, LLaMA, etc.).<br/><br/></p><p>- Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, Vector Databases Experience with multimodal AI systems (text, image, speech integration).<br/><br/></p><p>- Strong knowledge of MLOps, model deployment, and scalability (Docker, Kubernetes, CI/CD).<br/><br/></p><p>- Cloud expertise in AWS, Azure, or GCP AI/ML services.<br/><br/></p><p>- Familiarity with RAG (Retrieval-Augmented Generation) and fine-tuning pipelines.<br/><br/></p><p>- Knowledge of data engineering concepts and ETL pipelines.<br/><br/></p><p>- Understanding of AI ethics, fairness, privacy, and governance.<br/><br/></p><p>- Strong problem-solving, leadership, and communication skills.<br/><br/></p><p>- Contributions to open-source AI projects are highly desirable.</p><br/></p> (ref:hirist.tech)


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