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Machine Learning Engineering Manager (LLMs & Deep Learning)
Machine Learning Engineering Manager (LLMs & Deep Learning)Gramian Consulting Group • Gujranwala Division, Punjab, Pakistan
Machine Learning Engineering Manager (LLMs & Deep Learning)

Machine Learning Engineering Manager (LLMs & Deep Learning)

Gramian Consulting Group • Gujranwala Division, Punjab, Pakistan
5 days ago
Job description

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.

Commitments Required

8 hours per day with an overlap of 4 hours with PST.

Employment Details

Employment type : Contractor assignment (no medical / paid leave). Duration of contract : 3 months, possible extension. Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico.

Interview Process

Two rounds of interviews : 60 min technical + 30 min technical & cultural discussion.

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.
  • Work in a fully remote environment.
  • Opportunity to work on cutting‑edge AI projects with leading LLM companies.

Required Skills & Qualifications

  • 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 DeepSpeed.
  • 2+ years 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.
  • #J-18808-Ljbffr

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    Engineering Manager • Gujranwala Division, Punjab, Pakistan

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