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Job Title Machine Learning Engineer - Remote Requisition Number R7593 Machine Learning Engineer - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more} Job Information CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for a Machine Learning Engineer - Remote Your Role: We are seeking a skilled and motivated AI/ML Engineer to join our Data & AI Platform Engineering team. In this role, you will contribute to the design, implementation, and support of AI and ML capabilities that operate as part of an enterprise data and AI platform. You will work closely with senior engineers, data scientists, and cross-functional partners to deliver high-quality AI/ML components that are production-ready, well-governed, and aligned with established engineering standards. This role requires strong software engineering fundamentals, experience working with unstructured data and metadata, and an understanding of how semantic modeling can improve how users discover and interact with data and AI solutions. You will also stay current with evolving AI technologies, including Large Language Models (LLMs) and foundation model platforms, and apply them responsibly within a governed enterprise environment. Your Work: Design and Implementation - Design, implement, and support AI and ML components under the guidance of senior engineers and architects. - Build AI/ML solutions that are secure, stable, testable, and maintainable, following established platform and engineering patterns. - Apply existing engineering and AI/ML frameworks to ensure consistency, scalability, and operational readiness. - Evaluate tradeoffs between performance, scalability, cost, and usability when implementing solutions. Unstructured Data, Metadata, and Semantics - Implement pipelines to ingest, process, and enrich unstructured and semi-structured data such as documents and text. - Work with metadata, embeddings, and semantic representations to improve search, retrieval, and downstream AI use cases. - Apply semantic modeling techniques to help make data more discoverable, interpretable, and useful to end users and applications. Code Quality and Engineering Practices - Write high-quality, production-grade code using modern software engineering best practices. - Contribute to automated testing, code reviews, and CI/CD pipelines for AI/ML systems. - Turn well-defined designs into working software and deliver on commitments reliably. Problem Solving and Collaboration - Implement solutions to moderately complex problems by understanding requirements, constraints, and business context. - Collaborate with data scientists, platform engineers, and business partners to deliver effective AI/ML capabilities. - Contribute to user stories, technical documentation, and design discussions. Automation and Operational Excellence - Support MLOps / FMOps practices such as model deployment, versioning, monitoring, and troubleshooting. - Identify operational issues and work with the team to improve reliability, observability, and maintainability. - Contribute improvements to existing pipelines, tools, and platform components. LLMs and Foundation Models - Apply LLMs and prompt engineering techniques to business use cases under established architectural and governance guidelines. - Contribute to solutions using managed model platforms such as AWS Bedrock. - Assist in evaluating and integrating new AI capabilities into the platform. Data and AI Governance - Build AI/ML solutions that adhere to data and AI governance standards, including documentation, lineage, and testing requirements. - Partner with governance and compliance teams to ensure AI/ML implementations meet enterprise expectations. - Follow established practices for model versioning, validation, and transparency. Required Experience, Education and Skills - Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. - 3+ years of experience in AI/ML engineering or applied machine learning. - Experience delivering AI/ML solutions that are used in production environments. - Hands-on experience working with unstructured data, embeddings, or semantic techniques. - Strong programming skills, particularly in Python; experience with Java or similar languages is a plus. - Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience deploying AI/ML workloads on cloud platforms, preferably AWS and AWS Bedrock - Experience with data processing technologies such as Spark, SQL, or NoSQL systems. - Familiarity with Palantir (Foundry, AIP, or related tools) is required. - Exposure to MLOps/FMOps practices and governed AI environments What would make us excited about you? - Strong problem-solving and analytical skills with attention to detail. - Effective communication and collaboration skills in cross-functional teams. - Ability to operate in an agile, fast-paced engineering environment. - Desire to learn, grow, and deepen expertise in AI/ML engineering and platform development. - Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.) - Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.) - Travels as needed for role, including divisional / team meetings and other in-person meetings - Fulfills business needs, which may include investing extra time, helping other teams, etc Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska. Why Choose a Career at CSAA IG? At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive. Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits. Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support long‑term success. Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional in‑person moments that deepen connection and collaboration. Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market. Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don’t miss important updates from us. CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education. CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). CSAA Insurance Group is an equal opportunity employer. #LI-JR1 . The national average salary range for this position is $105,345.00-$117,050.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $105,345.00-$140,550.00.  This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 8% of eligible pay. This job posting will be unposted on Tue, 10 Feb 2026.

• Utilize the latest techniques in artificial intelligence and computer vision • Work on confidential projects that will impact Entefy’s suite of products • Engage your deep understanding of algorithms to build never-before-seen machine intelligence

• Use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products • Engage your deep understanding of algorithms to build never-before-seen machine intelligence

• Entefy’s Machine Learning Engineer is a highly visible position internally and externally. • Shape the future of communication and digital interaction. • Be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.