Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.
About the role
- Senior Machine Learning Engineer developing machine learning and AI solutions at Datatonic. Collaborating with clients to enhance business operations through innovative AI applications.
Responsibilities
- Interpret vague requirements and develop models to solve real-world problems.
- Conduct ML experiments using programming languages with machine learning libraries.
- Leverage generative AI to develop innovative solutions.
- Optimise machine learning solutions for performance and scalability.
- Implement tailored machine learning code to meet specific needs.
- Ensure efficient data flow between databases and backend systems.
- Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.
- Create machine learning architectures using Google Cloud tools and services.
- Build and deploy production-grade software for machine learning and data-driven solutions.
Requirements
- Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.
- Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.
- Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
- Hands-on experience with foundational software engineering practices.
- Strong knowledge of SQL for querying and managing data.
- Experience scaling computations using GPUs or distributed computing systems.
- Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).
- Strong communication and presentation skills to effectively convey technical concepts.
Benefits
- 30 days plus bank holidays (obviously!)
- 4500 kr per year Healthcare Allowance (paid monthly, after probation)
- Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
- 1200 kr WFH Equipment Allowance (after probation)
- Access to platforms like Udemy to fuel your curiosity.
- Private Salary Sacrifice Pension available
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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