Job Description

We're looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps expertise to help us boost innovation and efficiency throughout our data and machine learning operations.

Responsibilities

Build, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deployment
Create a solid infrastructure foundation for processing, training, and serving machine learning models through cloud-based platforms
Streamline essential workflows by automating data validation, transformation, and orchestration tasks
Partner with cross-functional teams, including data scientists and engineers, to bring ML solutions into production environments
Enhance model serving capabilities, performance monitoring, and overall reliability within production systems
Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows
Spot and act on opportunities to boost scalability, efficiency, and resilience across the infrastructure
Apply strict security protocols to protect data and maintain compliance with applicable regulations
Troubleshoot and fix technical problems within data pipelines and ML deployment processes

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, or a comparable field
At least 8 years of hands-on experience in Data DevOps, MLOps, or similar areas
Strong command of cloud platforms including Azure, AWS, or GCP
Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible
Solid skills in containerization and orchestration tools like Docker and Kubernetes
Practical experience working with data processing frameworks such as Apache Spark and Databricks
Strong Python skills along with familiarity with libraries like Pandas, TensorFlow, and PyTorch
Working knowledge of CI/CD tools including Jenkins, GitLab CI/CD, and GitHub Actions
Background using version control systems and MLOps platforms such as Git, MLflow, and Kubeflow
Familiarity with monitoring and alerting tools like Prometheus and Grafana
Solid problem-solving abilities paired with independent decision-making skills
Strong communication skills along with the ability to produce clear technical documentation

Nice to have