Engineering Manager

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).

Vetting

• Technical Interview + Delivery round

Skill

• Python OR Python for ML
• Machine Learning OR PyTorch OR Keras OR Tensorflow OR Scikit-Learn

Availability

• Full Time Availability (8 Hrs) and 6 hours overlap with PST time zone
• Talent has to be available between 12 PM PST - 6 PM PST and remaining 2 hrs can be adjusted before or after the above time.