LLM - EM (Engineering Manager)

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).

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs).

9+ yrs of 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.

Skills:-Python OR Python for ML,| Machine Learning OR PyTorch OR Keras OR Tensorflow OR Scikit-Learn

Commitments Required: Full time availability of 40 hours per week (6 hours of overlap with PST Time zone-  12pm PST to 6pm PSTworking from 9:00 AM PST to 3:00 PM PST.

The remaining two hours can be worked either before 9:00 AM PST or after 3:00 PM PST.)

Immediate - Max NP : 1 week

Employment type: Contractor assignment (no medical/paid leave)

Duration of contract: 2 months