ML Ops Engineer
Machine Learning Engineer | Long-Term Project | Financial Enterprise
Are you a Machine Learning Engineer who is excited about creating high-quality machine learning solutions leveraging the bank's most valuable data asset-transaction data? If so, keep reading!
About the RoleWe're looking for a Machine Learning Engineer to design, develop, and operate impactful solutions that enhance the experience of our 7 million customers. In this role, you'll join a cross-functional team and take full responsibility for the end-to-end delivery of your machine learning solutions.
Key Responsibilities- Build, test, deploy, and maintain high-performance machine learning solutions.
- Automate the solution development process to enhance efficiency.
- Collaborate with peers, subject matter experts, and stakeholders to drive continuous improvement.
What You'll Do
- Categorize millions of daily transactions with added metadata for a richer user experience.
- Design solutions optimized for low-latency performance and capable of handling billions of transactions.
- Work alongside team members to tackle critical or complex technical challenges through pair programming.
Your Skills and Experience
- Friendly, collaborative, and approachable.
- 3+ years of software engineering experience.
- 3+ years working with Azure deployments.
- Experience in CI/CD environments.
- Python programming.
- Experience with Databricks.
- Committed to writing clean, structured, and testable code.
- Proficient in English communication skills.
About Levy:
Since 2000 Levy provides professional Solutions to organizations ranging from tech start-ups to global players. From our offices in the UK and Amsterdam we have built an international local network of skilled employed professionals and contractors fueled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come multiplying by unit
Reference: 2848504895
ML Ops Engineer
Posted on Nov 11, 2024 by Levy Associates Ltd
Machine Learning Engineer | Long-Term Project | Financial Enterprise
Are you a Machine Learning Engineer who is excited about creating high-quality machine learning solutions leveraging the bank's most valuable data asset-transaction data? If so, keep reading!
About the RoleWe're looking for a Machine Learning Engineer to design, develop, and operate impactful solutions that enhance the experience of our 7 million customers. In this role, you'll join a cross-functional team and take full responsibility for the end-to-end delivery of your machine learning solutions.
Key Responsibilities- Build, test, deploy, and maintain high-performance machine learning solutions.
- Automate the solution development process to enhance efficiency.
- Collaborate with peers, subject matter experts, and stakeholders to drive continuous improvement.
What You'll Do
- Categorize millions of daily transactions with added metadata for a richer user experience.
- Design solutions optimized for low-latency performance and capable of handling billions of transactions.
- Work alongside team members to tackle critical or complex technical challenges through pair programming.
Your Skills and Experience
- Friendly, collaborative, and approachable.
- 3+ years of software engineering experience.
- 3+ years working with Azure deployments.
- Experience in CI/CD environments.
- Python programming.
- Experience with Databricks.
- Committed to writing clean, structured, and testable code.
- Proficient in English communication skills.
About Levy:
Since 2000 Levy provides professional Solutions to organizations ranging from tech start-ups to global players. From our offices in the UK and Amsterdam we have built an international local network of skilled employed professionals and contractors fueled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come multiplying by unit
Reference: 2848504895
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