Role : LLM – Engineering Manager (Python + Machine Learning)
Experience : 9+ years overall; 2+ years leading ML / LLM teams
Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
Engagement Type : Contract (2+ months) - Possible to extend for 6 months based on requirement
Start Date : Within 1 week
Availability : Full-time (8 hours / day) with at least 4 hours overlap with PST
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 DeepSpeed2+ 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).