Machine Learning Infrastructure and Data Engineer
Machine Learning Infrastructure and Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Bachelors degree in Computer Science or related discipline and 2 years relevant industry experience.
- Strong foundational knowledge in Computer Science.
- Extensive programming experience in Python Go or Java.
- Hands-on experience with cloud providers (AWS GCP or Azure).
- Strong understanding of core infrastructure concepts (e.g. compute networking storage containers Kubernetes).
- Experience with machine learning model development lifecycle including data preprocessing model training evaluation and deployment.
- Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g. Kubernetes Ray Spark Trino).
- Hands-on experience with CI/CD pipelines and practices.
- Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform Pulumi or CloudFormation).
- Experience building on LLMs or other generative models.
- Ability to drive projects from concept to production balancing business needs with technical quality and timely delivery.
- Excellent communication skills ability to work both independently and multi-functionally.
Employment Type
Full Time
