Machine Learning Engineer

AAA Club Alliance • Wilmington, DE, United States • $200k - $250k / year • 1m ago

Do you want to join a great organization that fosters teamwork, collaboration, and innovation? AAA Club Alliance is looking for you!

As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. You'll collaborate with Data Scientists to design tools to source data from across the Organization and deploy machine learning services at various decision points across the business process. You'll have the opportunity to work on challenging projects while collaborating with other business lines to have a positive impact on our customers and the organization.

At AAA, your success is our success. What we can offer you:

A competitive salary commensurate with experience
Comprehensive health benefits package
Up to three weeks of paid time off accrued during your first year
401(K) plan with company match up to 7%
Professional development opportunities and tuition reimbursement
Paid time off to volunteer & company-sponsored volunteer events throughout the year
Other benefits include a free AAA Premier Membership, Health & Wellness Program, Health Concierge Service, Health & Life Insurance, Short Term/Long Term Disability

As a Machine Learning Engineer, you will:

Develop a strong acumen of the AAA Club Alliance business
Write ETL processes to acquire data for model development and design data pipelines and tools for real time and batch processing in a production system.
Develop automated processes that help with consolidation of large, structured/unstructured data from variety of different sources across the organization.
Develop services that host the trained models and work with other application teams to integrate them into business processes.
Build tools for monitoring the performance of machine learning applications and develop the necessary failsafe procedures that ensure the delivery of the most optimal decisions.
Build interfaces that allow interaction with machine learning models, visualization of model metrics and collection of feedback in a production system.
Develop strong partnership with data scientists; participate in code reviews to ensure code quality and share best practices and experiences with the team.
Participate in activities like standardization of product development process, solution deployment, managing common codebase repositories, development of model risk & governance guidelines.
Evaluate new technologies, platform, and data that will help improve analytical processes.
Improve and develop the organization’s knowledge of emerging technologies, frameworks, and trends in AI and machine learning.
May provide limited mentoring to junior machine learning engineers.

What you can provide AAA:

Master’s degree in Computer Science, Engineering, Data Science, Analytics, Applied Math, Operations Research, or related analytical field (PhD preferred but not required).
Undergraduate degree in a quantitative field with equivalent experience (5+ years relevant experience as part of DS/ML teams) may be considered in lieu of advanced degree.
2 – 5 years of relevant work experience in analytical/technical roles; product/platform mindset.
Experience in Building MLOps solutions on Cloud Services.
Experience in cloud computing technologies, Google Cloud Platform (GCP) based analytic solutions like BigQuery, Vertex AI Notebooks, Looker Studio, Ray.
Experience with data pipelines, architectures, CI/CD concepts, and product scaling for real-time and batch processing.
Experience with infrastructure architecture design concepts and tools, such as Terraform.
Experience of building Generative AI solutions
Experience building and productionizing micro-services and REST APIs, gRPC.
Experience in building web applications
Strong proficiency in one or more object oriented programming languages (Python preferred).
Advanced experience in SQL; Familiarity with version control tools (Git etc.).
Advanced experience in Linux command-line application and bash scripting
Advanced experience in building web application using frameworks such as Django, Flask, Streamlit
Understanding of statistical, machine learning and deep learning algorithms.
Understanding of Generative AI concepts and applications.
Self-motivated, team player that can collaborate across cross functional teams.
Excellent interpersonal and presentation skills.

Experienced candidates are encouraged to apply as we are considering candidates for senior roles!

AAA Club Alliance (ACA) is an equal opportunity employer.

Our investment in Diversity, Equity, and Inclusion:

At ACA, we are committed to cultivating a welcoming and inclusive workplace of team members with diverse backgrounds and experiences to enable us to meet our goals and support our values while serving our Members and customers. We strive to attract and retain candidates with a passion for their work and we encourage all qualified individuals, regardless of race, color , gender, identity, veteran status, sexual orientation, physical ability or national origin, to apply.

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