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.
Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.
Developing solutions for MLOps platform at Itaú, the largest bank in Latin America. Collaborating with software engineering practices to enhance user experience in machine learning.
Develop Machine Learning systems and applications as part of Estadão's digital transformation initiative. Focus on AI algorithms and data - driven solutions to enhance business performance.
Machine Learning Engineer working with multidisciplinary teams to deploy AI/ML systems in Defence. Engaging with clients, troubleshooting issues, and enhancing machine learning solutions.
Machine Learning Engineer at Lloyds Banking Group, supporting data - led innovation and AI solutions for financial services. Join a diverse team influencing the lives of 30m+ customers across the UK.
Machine Learning Engineer creating AI solutions that enhance operations and accessibility in Defense and Intelligence sectors. Collaborating on technical innovations and deployments while leveraging cloud environments.
Machine Learning Engineer creating AI and ML solutions to transform operations in the Defense and Intelligence sectors. Focusing on optimizing data accessibility and operationalization of AI and ML systems.
Senior Machine Learning Engineer leading AI system development for diverse clients at Faculty. Collaborate cross - functionally while ensuring ethical AI deployment in public services.
Machine Learning Engineer designing and implementing cutting - edge ML technologies. Collaborating with data scientists to create innovative solutions that drive impactful projects.