Lead Systems Engineer

• Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment

• Create a strong infrastructure foundation for processing, training, and serving machine learning models through cloud-based platforms

• Streamline essential workflows including data validation, transformation, and orchestration to boost operational efficiency

• Partner with cross-functional teams, such as data scientists and engineers, to incorporate ML solutions into live production environments

• Enhance model serving capabilities, performance tracking, and reliability within production systems

• Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows

• Spot and execute opportunities to boost scalability, efficiency, and resilience within the infrastructure

• Implement 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

• A Bachelor's or Master's degree in Computer Science, Data Engineering, or a comparable field is required

• At least 8 years of hands-on experience in Data DevOps, MLOps, or similar fields

• Strong command of cloud platforms including Azure, AWS, or GCP

• Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible

• Expertise in containerization and orchestration solutions like Docker and Kubernetes

• Practical experience working with data processing frameworks such as Apache Spark and Databricks

• Strong Python skills along with familiarity using 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 solutions like Prometheus and Grafana

• Solid problem-solving abilities paired with the capacity to make independent decisions

  • Strong communication skills along with the ability to produce clear technical documentation