Senior DevOps Engineer with MLOps

7 days ago

Findlay, United States eTek IT Services, Inc. Full time
Job DescriptionJob DescriptionRequired SkillsDevOps; MLOps; Azure / AzureML; CI/CD; Jenkins, GitHub; Tensorflow; PyTorch; Machine Learning Models
Additional SkillsJob DescriptionJob Title:DevOps / MLOps Engineer LeadLocation:San Antonio, TX | Findlay, OHEducation Level:Bachelor’s Degree
Position SummaryWe are seeking an experienced and highly motivated DevOps / MLOps Engineer Lead to join our dynamic Data Science and AI team.& In this role, you will be pivotal in creating and maintaining robust, scalable, and efficient CI/CD pipelines for our machine learning models and data processing workflows.& You will collaborate with cross-functional teams to streamline and automate the end-to-end deployment processes, ensuring our AI/ML initiatives are delivered with high quality and speed.Key Responsibilities
  • Develop and Implement CI/CD Pipelines:& Design, build, and maintain continuous integration and deployment pipelines for machine learning models and data processing workflows.
  • Automation and Orchestration:& Develop and continuously improve automation solutions to enable teams to build and deploy code efficiently and consistently.
  • Promote DevSecOps Principles:& Foster a DevSecOps culture across the Analytics Innovation organization, ensuring security is integrated into the development process.
  • Lifecycle Streamlining:& Streamline the data science and development lifecycles by identifying and resolving pain points and productivity barriers.
  • Collaboration:& Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production.
  • Monitoring and Troubleshooting:& Implement monitoring and logging solutions to ensure the health and performance of deployed models and systems, and troubleshoot issues as they arise.
  • Security and Compliance:& Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements.
  • Documentation:& Maintain comprehensive documentation of systems, processes, and workflows to facilitate knowledge sharing and collaboration.
Desired Skills and ExperienceRequirements:
  • Education: Bachelor’s Degree in Computer Science, Engineering, or a related field.
  • Experience: 5+ years of experience in DevOps, MLOps, or a related field.
  • Azure DevOps and AzureML experience.
Technical Expertise:
  • Proficiency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python, Bash, PowerShell or other scripting languages.
  • Experience with infrastructure as code (Terraform, ARM).
Tool Proficiency:
  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines).
  • Knowledge of machine learning frameworks (TensorFlow, PyTorch) and data processing tools (Apache Spark, Airflow).
  • Problem-Solving: Excellent problem-solving and analytical skills, with a focus on delivering practical and efficient solutions.
Preferred Experiences:
  • Advanced Analytics Tools: Experience with advanced analytics tools and methodologies, including monitoring and logging solutions (Azure Monitor, Prometheus, Grafana).
  • Agile Methodologies: Experience working in Agile development environments.
  • Communication: Strong verbal and written communication skills, capable of articulating complex technical concepts to both technical and non-technical stakeholders.
  • Team Collaboration: A collaborative mindset with a track record of working effectively within diverse teams.
Other Qualifications:
  • AZ-400 DevOps Engineer Certification is desired.
  • Experience with Data Science and Machine Learning teams is desired.
&

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