Senior MLOps Engineer
1000
JobID
Level
Senior
Department
DevOps
Type
Full Time
Locations
Poland | Bulgaria | Romania
About the Project
Dcode.tech is looking for a MLOps Engineer with deep experience in cloud-based applications and infrastructure. Our team’s goal is to ensure our customer has the most trustworthy technology. To do so, we partner across engineering and operational teams to design and build systems that are secure-by-design.
In this role, you’ll collaborate with our software development and DevOps teams to optimize our customers' products, CI/CD infrastructure, and production infrastructure.
Scope of work
As a MLOps Engineer you will drive the automation of multiple parts of infrastructure and deployment systems.
Strive to improve and shorten processes, to enable engineering and operations teams to work smarter and faster with high quality.
You will design, develop, and modify machine learning processes as part of our customer's AI team using cloud technologies and MLOps tools.
You will be an expert with the AI team MLOps processes handling the full ML process from the data collection through model training and ending by deploying the best model into Cellebrite’s products.
You will be handling CI/CD processes on Premise and on the Cloud, on Linux servers and Kubernetes.
You will work closely with R&D teams on integrating AI team artifacts into R&D teams CI/CD processes.
Required skills
- 5+ years’ experience as DevOps Engineer
- 2+ years’ experience as an MLOPS engineer - Advantage
- 5+ years’ experience in AWS
- Ability to handle DevOps design and hands-on tasks
- Experience in build management tools and technologies - Jenkins, GitHub, GitHub -Actions, Docker, -Artifactory, Terraform, K8S
- MLflow and Databricks - Advantage
- Knowledge with various AWS services and Sagemaker - Advantage
- Experience with building MLOps processes – data collection, data tagging, training models and deploy artifacts
- Software development experience - Advantage
- Team player!
- Self-learning capabilities
- Good communication skills
- Can-do attitude!
Required Skills
- - 5+ years’ experience as DevOps Engineer
- 2+ years’ experience as an MLOPS engineer - Advantage
- 5+ years’ experience in AWS
- Ability to handle DevOps design and hands-on tasks
- Experience in build management tools and technologies - Jenkins, GitHub, GitHub -Actions, Docker, -Artifactory, Terraform, K8S
- MLflow and Databricks - Advantage
- Knowledge with various AWS services and Sagemaker - Advantage
- Experience with building MLOps processes – data collection, data tagging, training models and deploy artifacts
- Software development experience - Advantage
- Team player!
- Self-learning capabilities
- Good communication skills
- Can-do attitude!