Senior Machine Learning Engineer

We are seeking an accomplished Senior ML Engineer to serve as a n individual contributor to the g enerative AI space at GEICO . In this role, y ou will be collaborating with a dynamic team of AI and software engineers to design, develop , and deploy systems that drive business value. Your passion for scalability, reliability , and usability of generative AI workflows and approache s will allow you to provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross-functional problems.

- Contribute to the design, development and maintenance of high-performance AI solutions that utilize agentic workflows to deliver concrete business value for internal stakeholders. Examples include knowledge assistants, voice/text-based conversational AI solutions, document /audio processing copilots, voice agents, robotic process automation, etc.

- 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 outcome s , product release timelines and engineering excellence.

- Integrate and build solutions using GEICO AI platform architecture . Part n er with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform development.

- Work on first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide 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.

- 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

- 2 years interfacing directly with internal business stakeholders and/or external stakeholders on AIML initiatives

- 2 years working with cloud provider solutions such as Azure and AWS

- 2 years with tools that power LLM-based AI agents: eval frameworks, agent tooling, RAG pipelines, prompt engineering, etc.

- Strong communication and problem-solving skills to excel in dynamic, cross-functional and ambiguous decision-making environments

Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.