LLM - EM (Engineering Manager) - Python + Machine Learning

2 weeks ago


India People Prime Worldwide Full time

Job Description About Client: Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloudan AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALANour AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Title: LLM - EM (Engineering Manager) - Python + Machine Learning Location: Pan India Experience: 9+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Roles & Responsibilities - 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, budgets, and ensure compliance with data security and responsible AI standards. - Communicate progress, risks, and results to stakeholders and executives effectively. Required Skills & Qualifications - 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 optimization, 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. - Bachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred).



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