Senior Machine Learning Engineer in generative AI at GEICO. Collaborating on high-performance AI solutions to drive business value across diverse teams.
Responsibilities
Contribute to the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders.
Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, help define project scope and prioritize feature backlogs.
Execute pragmatic technical visions & roadmaps that balance business outcomes, product release timelines and engineering excellence.
Integrate and build solutions using GEICO AI platform architecture.
Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.
Participate in project planning and stakeholder management, ensuring the efficient allocation of resources and timely delivery of solutions.
Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture.
Requirements
5 years of experience designing and building scalable production AIML applications and systems in cloud environments.
Proficient in Python, Java and similar general-purpose programming languages.
3 years managing end-to-end software development life cycle (e.g. CICD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for backend systems and APIs.
2 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs.
2 years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AIML applications.
Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
Benefits
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Software Engineer I developing machine learning models and applications at Smart Data Solutions. Collaborating to improve infrastructure and automate processes using AI technology.
Intermediate Machine Learning Engineer at Aviva Canada implementing ML pipelines with required collaboration in AI/ML Operations. Join a team dedicated to operationalizing ML models for optimizing solutions.
MLOps Engineer designing and maintaining cloud infrastructure for large - scale computer vision model training. Collaborating with Data Scientists and AI Engineers to streamline model development lifecycle.
Machine Learning Engineer developing AI - first dating solutions at Hinge, enhancing user matchmaking and conversation experience. Collaborating with cross - functional teams to move ML models to production.
Senior ML Engineer designing and developing machine learning models for national security. Collaborating with cross - functional teams to deliver scalable solutions in defense applications.
Machine Learning Engineer developing and deploying ML planning algorithms for autonomous trucks. Join Plus, a leader in AI - based virtual driver software for autonomous trucking.