Lead Machine Learning Engineer @ Kforce Inc | Jobright.ai
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Kforce Inc · 3 days ago

Lead Machine Learning Engineer

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Responsibilities

Learn about and understand our supported businesses in order to drive practical and successful solution
Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contribute to software engineering communities of practice and events that explore new and emerging technologies
Add to team culture of diversity, equity, inclusion, and respect

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.

Software EngineeringCodingPythonDistributed ComputingPySparkMachine LearningMLOpsCloud DeploymentAWSMachine Learning Platform InfrastructureMachine Learning ModelsAWS Data PipelinesAWS ServicesModel Development Life CycleSystem DesignApplication DevelopmentDatabase QueryingDebuggingCode MaintenanceTestingCloud NativeFinancial ServicesIT Systems

Required

Formal training or certification on software engineering concepts and 5+ years applied experience
Proficient in coding in one or more languages
Advanced experience in Python and distributed computing frameworks such as PySpark
Experience in setting up Machine Learning platform infrastructure and deploying to the cloud to develop and train machine learning models
Hands-on experience and solid understanding of machine learning methods and MLOps, deploying and scaling ML and AI Models on Public cloud services
Hands-on experience with AWS cloud-based application development and infrastructure - EC2, EKS
Experience in designing and building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR, S3 to facilitate ML training
Experience analyzing and evaluating the ongoing performance of developed models
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Hands-on practical experience in system design, application development, testing, and operational stability
Overall knowledge of the Model Development Life Cycle

Preferred

Practical cloud native experience
In-depth knowledge of the financial services industry and their IT systems

Benefits

Medical/dental/vision insurance
HSA
FSA
401(k)
Life insurance
Disability insurance
ADD insurance
Paid time off

Company

Kforce Inc

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Kforce is a solutions firm specializing in technology and other professional staffing services.

H1B Sponsorship

Kforce Inc has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (604)
2022 (772)
2021 (1207)
2020 (914)

Funding

Current Stage
Public Company
Total Funding
unknown
2014-06-08Acquired· by Beecken Petty O'Keefe & Company
1995-08-25IPO· nyse:KFRC

Leadership Team

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Aaron Travis
Digital Service Delivery Director, Kforce Consulting Solutions
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Company data provided by crunchbase
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