Data Science Manager (AI Solutions-Machines)
Tasks
- Apply MLOps best practices
- Define model delivery priorities
- Drive innovation across machine learning domains
- Ensure data governance explainability and monitoring
- Establish model evaluation frameworks
- Implement code review and reproducibility practices
- Lead and mentor applied data scientists
- Own end-to-end AI project lifecycle
- Partner with engineering and product leadership on technical strategy
- Provide hands on guidance in model development
- Translate research into productized capabilities
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | Apache Airflow | Apache Spark | CI/CD | Data Governance | Explainability | GCP Vertex | GCP Vertex AI | Generative AI | Hugging Face | LLM | Language Processing | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | Supervised Learning | TensorFlow | Transformer | Unsupervised Learning | Vertex AI
Education
Roles
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