Job Description

As a Senior Engineer, you will:

  • Build product definition and leverage your technical skills to drive towards the right solution
  • Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives
  • Solve difficult problems, learn recent technologies, and push the boundaries of what is possible
  • Work independently and in a team environment
  • Scope, design, and build scalable, resilient distributed systems
  • Engage in cross-functional collaboration throughout the entire software lifecycle
  • Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
  • Consistently share best practices and improve processes within and across teams
  • Mentor other engineers

Qualifications

  • Experience with end-to-end Machine Learning Engineering lifecycle
  • Experience with Cloud Platforms such as Azure, AWS, or Google Cloud
  • Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML
  • Experience with Big Data platforms such as Databricks or Apache Spark
  • Experience writing Production quality code in Scala, PySpark, Python and/or Java
  • Experience with SQL
  • Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage)
  • Experience with CI/CD pipelines
  • Experience with Azure DevOps (ADO)
  • Experience developing ADO tasks, variable groups, and pipelines
  • Experience with telemetry, alerts, and monitoring
  • Experience with Azure Monitor, AppInsights, Dynatrace, Splunk or equivalents
  • Knowledge of Kubernetes or Azure Kubernetes Service (AKS)
  • Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge)
  • Experience with performance tuning with applications processing large amounts of data
  • Experience working with Hadoop, SQL, No-SQL platforms
  • Experience with various file formats such as AVRO, JSON, and PARQUET
  • Experience with Load Testing and Quality Assurance

Experience

  • 4+ years of experience developing machine learning solutions
  • ​3+ years of experience with architecture and design 
  • ​3+ years of experience with AWS, GCP, Azure, or another cloud service 
  • ​2+ years of experience in open-source frameworks

Education

  • Bachelor's degree in computer science, Information Systems, or equivalent education or work experience

Annual Salary

$66,000.00 - $204,500.00

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.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

  • 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 Info.

Government Employees Insurance Company - GEICO

The Government Employees Insurance Company is a private American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm.

  • Industry
    Manufacturing
  • No. of Employees
    40,000
  • Location
    Chevy Chase, MD, USA
  • Website
  • Jobs Posted

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Government Employees Insurance Company - GEICO is currently hiring Senior Machine Learning Engineer Jobs in Poway, CA, USA with average base salary of $66,000 - $204,500 / Year.

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