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.
About the role
- Senior Staff Machine Learning Engineer at GEICO leading generative AI domain initiatives. Collaborating on the design and maintenance of scalable AI solutions to drive business value.
Responsibilities
- Own 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, define project scope and prioritize feature backlogs.
- Establish pragmatic technical visions & roadmaps that balance business outcome, 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.
- Ideate and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
- Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
- Take ownership 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
- 10+ 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.
- 7 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.
- 5 years in training, finetuning, real-time/batch inferencing and evaluation systems for AIML models and LLMs.
- 5 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.
- 5 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives.
- 5 years working with cloud provider solutions such as Azure and AWS.
- 4 years with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.
- 3 years building LLM-based AI agent workflows via both no code/low code and traditional high-code development environments.
- 2 years of ideating, integrating, and designing applications and frontends using React or similar.
- Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments.
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.
- Supports flexibility- We provide 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.
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