
Data Scientist Specialist
7 days ago
Job Overview
We are seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer at our company, you will have the opportunity to work on exciting projects that push the boundaries of what is possible in data science.
Main Responsibilities
- Design and develop scalable machine learning pipelines for various stages from training to deployment.
- Collaborate with data scientists to move models from development to production environments.
- Develop and manage CI/CD and continuous training workflows for ML models.
- Implement monitoring for production models and optimize them for performance, scalability, and cost.
- Work with data and platform engineers to ensure data quality and build efficient data pipelines for AI/ML.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- Minimum 3+ years of commercial experience in a Machine Learning Engineer, MLOps, or related software engineering role.
- Strong proficiency in Python and solid understanding of software engineering principles.
- Hands-on experience with cloud platforms (GCP or AWS) and MLOps tools/frameworks for model deployment, monitoring, and lifecycle management.
- Proficiency with containerization technologies (Docker, Kubernetes) and strong SQL skills.
Benefits
We offer flexible work options, including flexible hours, hybrid work, or part-time arrangements. We welcome discussing your flexibility needs during the hiring process.
We also offer employee benefits, including paid parental leave, access to our Employee Exclusives program, digital newspaper subscription, and an annual gift voucher for Stan subscription.
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