Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. 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 will 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 should be comfortable coding, optimizing large‑scale training pipelines, and navigating the intersection of research, engineering, and product delivery.
Commitments : 8 hours per day with 4 hours overlapping PST. Employment type : Contractor assignment (no medical / paid leave). Duration : 2 months. Location : Remote — candidates located in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, or Mexico may apply.
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
Requirements
9+ years 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+ years 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 (Ph.D. preferred)Nice to Have
Experience training or fine‑tuning foundation modelsContributions to open‑source ML or LLM frameworksUnderstanding of Responsible AI, bias mitigation, and model interpretabilityBenefits
Fully remote environmentOpportunity to work on cutting‑edge AI projects with leading LLM companiesSeniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Other
Industries
IT Services and IT Consulting
#J-18808-Ljbffr