Machine Learning Engineering Director (REMOTE)

Key Skills

Agile methodologies, Analytical and Problem solving, Artifactory, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data Lake, Data pipelines, Databricks, Java Programming, Kubernetes-K8s, Leadership, Machine learning techniques, Python Programming, REST API, SQL, VR/AR frameworks

Job Description

GEICO Technology Solutions Data Engineering division is seeking a highly motivated engineering leader to join as a Machine Learning Engineering Director to define and drive the strategy, architecture, technical direction, development and implementation of our modern Machine Learning Platforms, Tooling and Services for ML/AI at Scale. You will be playing a critical role shaping the ML landscape of GEICO and deciding how ML should be done. You will need to focus not only on functional requirements but also non-functional requirements to ensure high availability and performance on models running in production. You and your team will build, in collaboration with Data Science teams, the necessary foundations and appropriate governance to ensure guardrails are in place to prevent bad actors, misapplication, and unintended/intended biases from surfacing impacting our business reputation. You and your team need to build simple and intuitive monitoring, interpretability and explainability functions through the ML life cycle while supporting the complex functionality Data Science will require.

This exciting opportunity allows you to use cutting edge technology and to push the art of the possible. You will be an integral part of the architecture and implementation of GEICO’s next generation of data analytics, modeling, and AI platforms that are leveraged for GEICO’s transformation into a data first company. All while driving the careers and growth of your associates! 

Responsibilities:

• Lead people, products, strategy, and process, and be a thought leader to create a strategy that drives ML Engineering organization as part of GEICO’s data-driven focus
• Demonstrate strategic thinking and strong planning skills to establish long term roadmap and business plan
• Strong relationship building to establish and foster great relationships with partner Tech teams and business partners
• Able to work independently while functioning as part of a cohesive cross-functional management team 
• Coach, develop, and manage associates and supervisors, including establishing goals and evaluating performance 
• Develop and align delivery area strategy to support the organizational vision and strategy 
• Evaluate the accuracy and probable effectiveness of proposed technical solutions
• Manage the work of multidisciplinary teams that encompass platform engineers and developers/programmers including plans, budgets and deliverables
• Use cost benefit analyses when proposing and delivering Tech services to meet business requirements
• Propose and initiate appropriate plan revisions as required based on business need 

Required Qualifications:

• 9+ years of experience designing, building, optimizing and scaling data-intensive solutions using distributed computing 
• 6+ years of experience designing and building software solutions
• 6+ years of leadership experience leading, coaching, and developing teams and associates in data and/or ML Engineering 
• 4+ years of experience in Agile frameworks and methodologies
• 5+ years of experience building, scaling, and optimizing ML solutions
• Knowledge of Software Engineering, Data Engineering, and Data Science technologies
• Experience in Azure Ecosystem is a plus (Azure Data lake, Azure Data Factory, Azure Databricks, Azure Storage, CosmosDB, ADO)
• Knowledge on Azure Kubernetes Services and experience with Kubernetes deployments
• Experience developing REST based web-services with high performance, availability, resilience, and throughput 
• Experience with CI/CD pipelines and build/release practices
• Monitoring pipelines for failures and diagnose/resolve problems. 
• Concrete experience and strong understanding of data science, machine learning, data engineering, data management, data quality, and data lineage services and technologies
• Ability to prioritize and drive results based on business value to the organization
• Strong critical thinking, decision making, and problem-solving skills
• Excellent verbal/written communication skills, with the ability to effectively communicate to both Senior Leadership, highly technical and non-technical audiences
• Experience with strategic planning, establishing and communicating roadmaps, budgeting, and allocation of resources
• Successful experience leading a team that is part of a connected program while also delivering individual team results
• Experience developing and implementing associate development programs to address sustainable development of relevant technical knowledge 

Benefits:

At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our that includes:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Profit Sharing Plan
• Tuition Assistance including Direct Billing and Reimbursement payment plan options
• Paid Training, Licensures, and Certificates

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.

GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to 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 celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team.