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ID #17049012
State Maryland
City Chevychase
Job type Permanent
Salary USD TBD TBD
Source GEICO
Showed 2021-07-20
Date 2021-07-19
Deadline 2021-09-17
Category Internet engineering
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Azure MLOps Engineer

Maryland, Chevychase, 20815 Chevychase USA

Vacancy expired!

Job Description:

As a member of the Data Ops team at GEICO, you will be responsible for providing and maintaining a robust and scalable machine learning & data platform in Microsoft Azure. This includes configuring and provisioning components based on end users needs, productionizing machine learning resources and routines, training platform users and advising on best practices, and providing continued monitoring solutions for platform stability. You will support our IT and data science stakeholders in their efforts to design, deploy, and maintain machine learning models that provide value to many different areas of GEICO's business - from applications, to marketing and underwriting. You will collaborate with other IT teams, including architecture, network teams, and DevOps Catalog to build solutions that meet the customer's needs within our organizational parameters and processes.

Roles and Responsibilities:
  • Work with platform users to understand requirements and use cases, and to advise on strategy and best practice for use of the platform.
  • Monitor cloud-based systems and components for availability, performance, reliability, security, efficiency, and ability to meet non-functional requirements and service level agreements.
  • Create and configure appropriate cloud resources to meet the needs of the end users, including Azure Kubernetes Clusters, Machine Learning Workspaces and compute instances.
  • Create and maintain pipelines in Azure DevOps to automate deployment of code and resources (CICD).
  • Strong, proven problem-solving skills and a proven ability to apply critical/analytical thinking to deliver sustainable and creative solutions to complex requirements.
  • As needed, document topology, processes, and solution architecture.
  • Assist with the training and enablement of end users, including data scientists, program managers, and data consumers.

Required Qualifications:
  • Understanding of machine learning concepts and challenges, and understanding of Machine Learning Life Cycle
  • 3+ years of experience with the Microsoft Azure cloud environments & associated components and resources, to create enterprise-grade applications environments
  • Experience with cloud data storage and compute components including Kubernetes, data lakes, compute clusters, and data warehouses
  • Knowledge of DevOps principles and comfortable working in Agile environment
  • Strong working knowledge of networking concepts (DNS/DHCP/Firewalls/Sub-netting, etc.)
  • Experience using Azure DevOps (ADO) platform to create and maintain CICD pipelines
  • Willing and able to excellent provide support 24x7 for the platform on an on-call rotation basis
  • Ability to work independently, and deliver results and drive projects with minimal supervision
  • Strong ability to communicate blockers and issues to management for escalation and timely resolution
  • Strong team player, with desire to learn new skills and broaden experience
Preferred Qualifications:
  • Experience with Microsoft Azure machine learning components
  • Experience with Python for data manipulation and data science, and notebook-based data analysis solutions like Jupyter or Azure Databricks
  • Experience performing Root Cause Analysis (RCA) for application and infrastructure related issues

Education:
  • Bachelor's Degree in Computer Science or a related field
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Benefits:

As a full time associate, you'll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:
  • Premier Medical, Dental and Vision Insurance with no waiting period
  • Paid Vacation, Sick and Parental Leave
  • 401(k) Plan with Profit Sharing
  • Tuition Reimbursement
  • Paid Training and Licensures

Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.

Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

To ensure our associates receive the training and support needed to excel and thrive, associates hired for this position are generally required to work at the GEICO building during their orientation period. GEICO follows federal and state guidance and legal requirements regarding measures designed to limit the spread of COVID-19, including masking and social distancing. Measures may vary by GEICO location.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Vacancy expired!

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