Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high - performing teams by matching them with professionals who truly fit their needs.Role OverviewWe are seeking a hands - on Machine Learning Engineering Manager to lead cross - functional teams building and deploying cutting - edge LLM and ML systems. In this role, 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.You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, high - performance systems that translate research breakthroughs into measurable business impact.This position is ideal for leaders who are still comfortable coding, optimizing large - scale training pipelines, and navigating the intersection of research, engineering, and product delivery.Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave)Duration of contract: 3 months, possible extentionLocation: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoTwo rounds of interviews (60 min technical + 30 min technical & cultural discussion)Roles & ResponsibilitiesLead and mentor a cross - functional team of ML engineers, data scientists, and MLOps professionalsOversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deploymentCollaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metricsProvide technical direction on large - scale model training, fine - tuning, and distributed systems designImplement best practices in MLOps, model governance, experiment tracking, and CI/CD for MLManage compute resources, budgets, and ensure compliance with data security and responsible AI standardsCommunicate progress, risks, and results to stakeholders and executives effectivelyRequirementsRequired Skills & Qualifications9+ 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 DeepSpeed2+ yrs of proven experience managing teams delivering ML/LLM models in production environmentsKnowledge 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 pipelinesExcellent leadership, communication, and cross - functional collaboration skillsBachelor's or Master's in Computer Science, Engineering, or related field (PhD preferred)Nice to HaveExperience training or fine - tuning foundation modelsContributions to open - source ML or LLM frameworksUnderstanding of Responsible AI, bias mitigation, and model interpretabilityBenefitsWork in a fully remote environmentOpportunity to work on cutting - edge AI projects with leading LLM companies