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AI/ML Engineer Generative AI & LLMs Location: Gurgaon (Hybrid / In-office) Experience: 4 Years Availability: Immediate Joiners Only Employment Type: Full-Time About the Role We are seeking an exceptionally talented AI/ML Engineer to join our team working on one of the most ambitious Generative AI projects in the industry. This is a high-impact role where you'll work hands-on with state-of-the-art Large Language Models (LLMs), NLP frameworks, semantic search, and MLOps to build intelligent systems that transform how humans interact with machines. Key Responsibilities - Design, develop, and deploy LLM-based solutions for real-world use cases. - Work with Generative AI models, transformers, NLP tools, and embedding techniques. - Integrate external AI APIs and fine-tune models for performance and accuracy. - Build and optimize Vector Databases for semantic search and similarity detection. - Apply MLOps principles for scalable model deployment and monitoring. - Collaborate closely with a team of researchers, engineers, and data scientists. - Participate in architecture discussions and take ownership of AI model pipelines. - Stay on top of the latest advancements in AI, NLP, and deep learning research. Required Skills & Experience - 4 years of strong, hands-on experience in AI/ML model development. - Proficiency in LLMs, NLP frameworks, transformers, and embedding techniques. - Practical experience working with Generative AI models (OpenAI, LLaMA, Hugging Face, etc.). - Deep knowledge of Vector DBs (e.g., FAISS, Qdrant, Pinecone) and semantic search. - Robust API integration skills and experience working on live AI/ML projects. - Familiar with MLOps tools (MLflow, SageMaker, etc.) and CI/CD pipelines. - Excellent communication and problem-solving abilities. Why This Role - Work on a large-scale Generative AI initiative. - Collaborate with domain experts and top-tier engineers. - Be at the forefront of AI evolution. - Competitive compensation and long-term growth opportunities. Work Location: Gurgaon Work Mode: Hybrid / In-office AI/ML Engineer Generative AI & LLMs Location: Gurgaon (Hybrid / In-office) Experience: 4 Years Availability: Immediate Joiners Only Employment Type: Full-Time About the Role We are seeking an exceptionally talented AI/ML Engineer to join our team working on one of the most ambitious Generative AI projects in the industry. This is a high-impact role where you'll work hands-on with state-of-the-art Large Language Models (LLMs), NLP frameworks, semantic search, and MLOps to build intelligent systems that transform how humans interact with machines. Key Responsibilities - Design, develop, and deploy LLM-based solutions for real-world use cases. - Work with Generative AI models, transformers, NLP tools, and embedding techniques. - Integrate external AI APIs and fine-tune models for performance and accuracy. - Build and optimize Vector Databases for semantic search and similarity detection. - Apply MLOps principles for scalable model deployment and monitoring. - Collaborate closely with a team of researchers, engineers, and data scientists. - Participate in architecture discussions and take ownership of AI model pipelines. - Stay on top of the latest advancements in AI, NLP, and deep learning research. Required Skills & Experience - 4 years of strong, hands-on experience in AI/ML model development. - Proficiency in LLMs, NLP frameworks, transformers, and embedding techniques. - Practical experience working with Generative AI models (OpenAI, LLaMA, Hugging Face, etc.). - Deep knowledge of Vector DBs (e.g., FAISS, Qdrant, Pinecone) and semantic search. - Robust API integration skills and experience working on live AI/ML projects. - Familiar with MLOps tools (MLflow, SageMaker, etc.) and CI/CD pipelines. - Excellent communication and problem-solving abilities. Why This Role - Work on a large-scale Generative AI initiative. - Collaborate with domain experts and top-tier engineers. - Be at the forefront of AI evolution. - Competitive compensation and long-term growth opportunities. Work Location: Gurgaon Work Mode: Hybrid / In-office
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