Senior Machine Learning Engineer

$90,000 - $204,500/Yr

Geico - Chevy Chase, MD

Full-time - Mid Level

Chevy Chase, MD

Insurance Carriers and Related Activities

About the position

GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers' contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers. You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills. Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI.

Responsibilities

• Ability to think creatively to find innovative solutions to complex ill-defined problems
• Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
• Provides machine learning expertise within a team's functional area
• Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability
• Helps junior team members to produce the same
• Participates in the formulation of non-functional requirements
• Specifies the design and implementation of software modules based upon system requirements and architectural guidance

Requirements

• Strong foundation in Machine Learning and Artificial Intelligence
• Experienced in Natural Language Processing and AI language services
• Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
• Familiar with Responsible AI principles, model evaluation and monitoring
• Strong Python and SQL programming skills
• Experience using Jupyter notebooks or similar tools
• Experience with Github or other source code management platforms
• Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle
• Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch
• Experience with cloud providers, preferably Amazon Web Services and/or Azure
• Ability to explain AI/ML concepts to technical and non-technical audience
• Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
• Ability to develop collaborative relationships with multi-functional teams

Nice-to-haves

• Generative AI Retrieval Augmented Generation and AI agents
• Experience working with chatbots and Conversational AI
• Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
• Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
• Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn
• Familiar with Microservices development, Swagger, Postman
• Building test suite and frameworks to automate end to end testing
• Experience with open source libraries and frameworks
• Experience working in an Agile environment (Scrum, Kanban, SAFe)

Benefits

• Premier Medical, Dental and Vision Insurance with no waiting period
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures