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LLM - Engineering Manager at Gramian Consulting Group. 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 Overview. We 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: 2 months. Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico. Two rounds of interviews (60 min technical + 30 min technical & cultural discussion). 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).. Nice to Have . Experience training or fine-tuning foundation models.. Contributions to open-source ML or LLM frameworks.. Understanding of Responsible AI, bias mitigation, and model interpretability.. Company Location: Nigeria.