Chief Architect of Large Language Models

6 days ago


thane, India beBeeLeadership Full time

Lead LLM Engineering ManagerAt our organization, we're seeking a hands-on Machine Learning Engineering Manager to lead cross-functional teams building and deploying cutting-edge Large Language Model (LLM) and Machine Learning (ML) systems. As a leader who's still comfortable coding, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders.Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics.Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML.Manage compute resources and ensure compliance with data security and responsible AI standards.The ideal candidate will have:9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed.2+ yrs of proven experience managing teams delivering ML/LLM models in production environments.Knowledge of distributed training, GPU/TPU optimisation, and cloud platforms (AWS, GCP, Azure).Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines.Excellent leadership, communication, and cross-functional collaboration skills.



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