Job Overview
This role combines technical leadership with expertise in machine learning and data science to drive business outcomes.
* Lead a team of engineers, scientists, and experts in AI and MLops.
* Oversee end-to-end project lifecycle: data ingestion, model development, deployment, and monitoring.
* Provide strategic guidance for distributed training, large-scale optimization, and system architecture.
The ideal candidate will have 5+ years of experience in machine learning, natural language processing, and deep learning, with strong proficiency in Python and frameworks like PyTorch, TensorFlow, and Hugging Face.
Key responsibilities include:
1. Managing infrastructure resources, cloud costs, and ensuring responsible AI practices.
2. Communicating progress, blockers, and results clearly to stakeholders.
Required skills and qualifications include:
* Strong leadership, communication, and collaboration skills.
* Excellent understanding of MLOps tools (MLflow, Kubeflow, Vertex AI).
* Bachelor's/Master's in Computer Science, Engineering, or related field (PhD preferred).
Nice to have experience includes:
* Training or fine-tuning foundation models.
* Contributions to open-source ML frameworks.
* Knowledge of bias mitigation and model interpretability.