Machine Learning Engineer
4 weeks ago
About the Role
As a Machine Learning Engineer at CoderWan, you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. Your primary responsibility will be to deploy, maintain, and monitor models in production, ensuring quality and scalability.
Key Responsibilities
- Model Deployment: Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability.
- Pipeline Development: Build and maintain model pipelines to integrate with existing systems and workflows.
- CI/CD for ML: Design and implement continuous integration and delivery pipelines for efficient model deployment.
- Model Monitoring: Monitor machine learning models in production, ensuring ongoing performance and reliability.
- Collaboration: Work with cross-functional teams to design solutions that align with business objectives and best practices in machine learning.
- Optimization: Continuously improve machine learning infrastructure and production workflows.
Requirements
- Technical Skills: Strong technical foundation in machine learning and software engineering, proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), experience with cloud platforms (AWS, GCP, Azure), and experience with CI/CD pipelines for machine learning (e.g., Vertex AI).
- Education: Bachelor's degree in Computer Science, Data Science, or a related field.
- Experience: 3+ years of experience in deploying and maintaining machine learning models.
What We Offer
- Flexible Working Options: Including hybrid and remote options.
- Competitive Compensation Package + Bonus.
- 25 Days Holiday Per Year (increasing to 28 after 2 years).
- 2 Paid Volunteering Days Per Year for giving back to causes you care about.
- Learning & Development Opportunities: Access to industry training through learning platforms.
- Pension & Life Insurance.
- Health Cash Plan & Online GP services.
- Paid Parental Leave.
- Season Ticket Loan & Cycle-to-Work Scheme.
- Discounted Gym Membership.
- Central Office Location with complimentary snacks and refreshments.
- Relocation Assistance & Work Visa Sponsorship for international talent.
- Employee Assistance Programme (EAP).
- Company Events: Regular social events, team-building activities, and access to over 4,000 deals and discounts on travel, electronics, fashion, and more.
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