4 months ago
Atlanta, GA, USAStaff+
Base Salary
$125k - $275k/yr
Responsibilities
- Develop, manage, and scale infrastructure for reliable machine learning model deployment, including orchestration, version control, and monitoring.
- Design and implement automation pipelines for model training, testing, validation, and deployment.
- Deploy ML models to production and establish monitoring and alerting for model performance, health, and data drift.
- Troubleshoot issues and optimize model efficiency.
- Collaborate with data scientists, software engineers, DevOps teams, IT teams, and managed service providers to integrate ML solutions into existing systems and workflows.
- Apply security protocols, compliance standards, data-privacy practices, and model-governance best practices throughout the ML lifecycle.
- Contribute to technical innovations, coding standards, software-development best practices, and team mentoring.
- Perform other assigned duties and comply with company policies and standards.
Requirements
- Bachelor’s degree in Computer Science or Engineering, or equivalent experience, preferred.
- Typically 8+ years of experience in a similar MLOps or DevOps role within a technical engineering environment.
- Typically 8+ years of experience with programming languages such as Python or Java and relevant ML frameworks such as TensorFlow or PyTorch.
- Experience with CI/CD pipelines, version-control systems, and automation tools.
- Knowledge of end-to-end SDLC processes in EDW, data lake, BI, and MLOps projects.
- Knowledge of dimensional modeling, data warehouses, ODS concepts, star schemas, snowflake schemas, and normalized data models.
- Strong knowledge of Docker, Kubernetes, and cloud platforms including AWS, Azure, or GCP.
- Ability to coordinate effectively with on-site and offshore resources through managed service providers and IT teams.
- Knowledge of reporting tools such as Tableau is desired.
- Understanding of machine learning concepts, model development, and deployment strategies.
- Strong verbal and written communication, problem-solving, organizational, and collaboration skills.
Benefits
- Permanent full-time employees may receive medical, dental, and vision plans; life and disability insurance; a 401(k) savings plan; an employee stock purchase plan; eleven company-observed holidays; PTO; and a comprehensive leave program.
- The preferred location is Atlanta, Georgia, and qualified external applicants will be considered for an in-office role.
- Qualified internal candidates are encouraged to consider relocation to Atlanta and may be considered for remote hire at the company’s discretion.
- Travel requirements are minimal.
- The role may be performed in a clean, pleasant, and comfortable office or home setting, with reasonable accommodations available for qualified individuals.
Tech Stack
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