Senior Engineer- MLOps

Key Skills

AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevOps, Employee life cycle, Google Cloud Platform (GCP), Jupyter Notebook, Machine learning techniques, MLOps tools, PowerShell Programming, Python Programming, Scala Programming, SQL

Job Description

Our Senior Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities

As a Senior Engineer, you will:

• Apply strong, proven problem-solving skills and a proven ability to apply critical/analytical thinking to deliver sustainable and creative solutions to complex requirements
• Support product definition and leverage your technical skills to drive towards the right solution
• Maintaining the Machine Learning platform supporting Data Science initiatives
• Work with platform users to understand requirements, use cases, advise on strategy, and best practice for the platform
• Solve difficult problems, learn recent technologies, and push the boundaries of what is possible
• Work independently and in a team environment
• Engage in cross-functional collaboration throughout the entire software lifecycle
• Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Consistently share best practices and improve processes within and across teams
• Mentor other engineers
• Document topology, processes, and solution architecture
• Assist with the training and enablement of end users, including data scientists, program managers, and data consumers
• Utilize programming languages or scripting languages like Scala, Python, SQL, PowerShell or equivalent

Qualifications

• Understanding of machine learning concepts and challenges, and understanding of Machine Learning Life Cycle
• Experience with the Microsoft Azure cloud environments and 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
• Experience with Python for data manipulation and data science, and notebook-based data analysis solutions like Jupyter or Azure Databricks is preferred
• Experience performing Root Cause Analysis (RCA) for application and infrastructure related issues is preferred
• Ability to work independently, 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

 Experience

• 4+ years of professional software development experience with Python and develop and maintain machine learning models
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 2+ years of experience in open-source frameworks

Education

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

Benefits:

As an 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
• Tuition Reimbursement
• Paid Training and Licensures

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

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

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.