Cloud-Based ML Engineer
3 days ago
**Job Overview**
We are seeking a skilled Senior Machine Learning Platform Engineer to join our team at Worksconsultancy. As a key member of our organization, you will play a vital role in designing and implementing cloud-based ML platforms that drive business growth.
Key Responsibilities:
- Evaluate and select suitable cloud services for each stage of the ML lifecycle.
- Design and implement the overall architecture of the MLOps platform.
- Set up automated pipelines for data preparation, model training, and deployment.
- Implement version control for code, data, and models to ensure reproducibility and traceability.
- Maintain scalability, security, and compliance with relevant regulations.
- Provide tools and interfaces for data scientists to leverage the platform efficiently.
- Optimize the platform for performance and cost-efficiency.
Requirements:
- Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.
- At least 10+ years of professional experience in building cloud-based applications, including ML platforms.
- Extensive expertise in cloud platforms like AWS, Google Cloud Platform, or Azure (Azure preferred).
- Proficiency in DevOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
- Strong understanding of ML workflows, model training, deployment processes, and data engineering pipelines.
- Advanced programming skills, particularly in Python, with a focus on ML applications.
- Experience in designing secure, scalable systems that adhere to regulatory compliance.
- Demonstrated ability to collaborate with cross-functional teams, including data scientists and software engineers.
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