46 applicants

Company

Original Job Post

GEICO · 1 week ago

Senior Machine Learning Engineer

Chevy Chase, MD

Full-time

Hybrid

Mid Level

$72K/yr - $185K/yr

4+ years exp

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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 processes

Provide machine learning expertise within the team's functional area

Write production-ready code with defined standards of readability, maintainability, reliability, and testability

Help junior team members to produce code meeting standards

Participate in the formulation of non-functional requirements

Specify the design and implementation of software modules based on system requirements and architectural guidance

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningArtificial IntelligenceNatural Language ProcessingAI Language ServicesGenerative AILarge Language ModelsOpenAI APIsPrompt EngineeringModel EvaluationModel MonitoringPythonSQLJupyter NotebooksGithubSource Code ManagementAI/ML Data PipelinesML Ops LifecycleBig Data TechnologiesSparkData LakeMLflowSnowflakeElasticsearchCloud ProvidersAmazon Web ServicesAzureTechnical WritingCoachingProblem-SolvingCommunication

Required

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

Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience

Preferred

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)

Master’s degree preferred

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

Company

GEICO

Glassdoor

2.7

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

Founded in 1936

Chase, Maryland, USA

10,001+ employees