Job Summary
A company is looking for a Sr Data Scientist (ML) to lead the delivery and deployment of machine learning models for predictive maintenance.
Key Responsibilities
- Design and implement end-to-end machine learning pipelines for real-world impact
- Collaborate with data scientists and ML engineers to optimize model performance and streamline workflows
- Deploy and monitor models in production using MLOps tools and ensure seamless operation
Required Qualifications
- Minimum of 5 years of experience in data analytics and modeling with TensorFlow or PyTorch
- At least 3 years of experience deploying ML models into production environments
- Proven experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP Vertex AI)
- Strong understanding of the model development lifecycle and MLOps practices
- Bachelor's degree in Mathematics, Statistics, Data Science, or a related field or equivalent work experience
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