Sr. Machine Learning (ML) Engineer @ Synergy | Jobright.ai
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Sr. Machine Learning (ML) Engineer jobs in United States
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Synergy · 1 day ago

Sr. Machine Learning (ML) Engineer

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IT Services and IT Consulting
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Responsibilities

Develop, train, test, and deploy ML models to production with robust monitoring and logging
Study and transform data science prototypes, select suitable data sets, and conduct data collection and modeling
Perform statistical analysis and tune hyper-parameters to enhance model performance
Automate workflows for data collection, model training, and deployment
Implement continuous integration/continuous deployment (CI/CD) pipelines for ML projects
Monitor models in production and optimize performance over time
Work with data scientists to transition models from development to production
Document processes and provide knowledge transfer to other team members or teams
Evaluate and apply new tools and technologies to enhance ML operations (MLOps) practices
Lead customer communications and project presentations related to ML development
Coordinate with a peer ML Engineer on tasks and provide subject matter expertise to subordinate ML Engineers
Collaborate with cross-functional engineering and operations teams to deliver solutions

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.

ML model developmentTensorFlowPyTorchMLOps principlesCI/CDPythonDockerKubernetesAWS SageMakerAzure MLRBashMicrosoft Office 365Agile environmentAWS Certified Solutions ArchitectMicrosoft Certified Azure Solutions Architect ExpertGoogle Cloud Professional Cloud Architect

Required

Experience in developing and deploying ML models at scale
Proficiency with ML frameworks such as TensorFlow, PyTorch, or similar
Experience implementing MLOps principles, including version control and CI/CD
Familiarity with infrastructure automation tools (e.g., Docker, Kubernetes)
Experience with cloud services implementing APIs for model deployment (e.g., AWS SageMaker, Azure ML)
Strong programming skills in Python, R, Bash, and/or other related languages for automation
Ability to clearly communicate/present technical issues and status to customers
Ability to create project documentation (e.g., SOP) and user guidance
Proficient with Microsoft Office 365 applications, specifically Word, Excel, PowerPoint, Outlook, OneDrive, Teams, and SharePoint
Experience working in an agile environment, coordinating across multiple teams
Ability to execute in a remote work environment
US Citizen or US Work Authorization

Preferred

Experience with Federal government customers preferred
AWS Certified Solutions Architect (Highly Desired)
Microsoft Certified Azure Solutions Architect Expert (Highly Desired)
Google Cloud Professional Cloud Architect
6 years of experience and a Bachelor’s Degree in Computer Science or Computer Engineering
MBA or Master’s Degree in Computer Science or Computer Engineering

Benefits

Group medical, dental, and vision insurance
HSA
FSA
401(k) with immediately vested company match
PTO/Sick Leave
11 paid federal holidays
Company paid life, short-term and long-term disability insurance
Tuition and training reimbursement
Fitness/wellness reimbursement
A referral bonus program
Life management programs

Company

Synergy

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Synergy is a premier Information Technology (IT) firm focused on the practice areas of Health IT, National Security, and Citizen Services.

Funding

Current Stage
Late Stage
Company data provided by crunchbase
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Orion

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