Engineering Manager - Machine Learning

Description :

- 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.

- Bachelors or Masters in Computer Science, Engineering, or related field (PhD preferred).

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.

- 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

Immediate : Max NP : 1 week

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