Leading Large Language Model Development

2 days ago


Hyderabad, Telangana, India beBeeArtificialIntelligence Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Opportunity for AI/ML Engineer

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We are looking for a highly skilled Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs). The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models, and solving complex problems across domains using applied machine learning and natural language processing.

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This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. You will work closely with product, data engineering, and domain teams to prototype and deliver scalable solutions that drive business results.

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Key Responsibilities:

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  • Design, build, and deploy customized LLM pipelines tailored to enterprise use cases.">
  • Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring.">
  • Implement RAG pipelines using vector databases and document ingestion frameworks.">
  • Fine-tune open-source LLMs on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA.">
  • Translate business problems into ML/LLM solutions with clear problem framing and data strategy.">
  • Cross-functionally apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP.">
  • Mentor junior engineers and contribute to AI/ML best practices.">
  • Act as a thought partner in innovation and experimentation within the team and with external stakeholders.">
  • Develop and maintain high-quality, production-ready code.">
  • Collaborate with cross-functional teams to develop and implement AI/ML strategies.">
  • Identify opportunities to improve efficiency and scalability of AI/ML processes.">
  • Stay up-to-date with industry trends and advancements in AI/ML and related fields.">
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Required Skills & Qualifications:

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Must Have Skills:

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  • 5+ years of hands-on experience in ML/NLP, with a recent focus on LLMs and foundation models.">
  • Deep knowledge of Hugging Face ecosystem, PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries.">
  • Experience deploying ML models to production using FastAPI, Docker, Kubernetes, or cloud-native tools (AWS/GCP/Azure).">
  • Familiarity with vector databases, embeddings, and search frameworks.">
  • Strong understanding of model evaluation metrics, bias/fairness in ML, and responsible AI practices.">
  • Ability to work cross-functionally with business, legal, and engineering teams.">
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Preferred Qualifications:

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  • Experience with RLHF (Reinforcement Learning from Human Feedback).">
  • Published work in open-source communities or AI research conferences.">
  • Familiarity with multi-modal AI, autoML, or agentic workflows.">
  • Prior work in regulated domains (e.g., finance, healthcare, legal).">
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