Senior Machine Learning Engineer

The Data Engineer 4 is responsible for managing data pipelines, packaging code for deployment, and developing analytical solutions.

This position requires both technical expertise and autonomy to design, build, and implement data-driven insights within a collaborative environment.

The Data Engineer 4 will develop end-to-end solutions from data extraction through to operational deployment and work with large datasets from diverse sources to enable valuable insights and analytics.

Responsibilities Design, build, and maintain scalable data pipelines to clean and transform data for analysis. Develop end-to-end solutions from data extraction to operational deployment. Work with large datasets from various sources to enable insights and analytics. Evaluate team models and suggest enhancements; promote best practices for modeling and create scalable operational needs. Ensure data storage and processing meet security standards and comply with relevant regulations. Create and maintain documentation for data pipelines, architectures, and processes. Operate as a trusted advisor on issues and trends; provide consulting services leveraging expertise and best practices. Contribute to the growth and quality of the department through knowledge sharing and coaching. Mentor, coach, train, and provide feedback to team members; provide feedback to leadership on team capabilities. Comply with all privacy and data security policies, including Hyland's Information Systems Security Policy. Minimum Qualifications Bachelor's degree or equivalent experience. Proven experience with data engineering, including data warehouses and ETL processes. Experience with Data and ML Pipelines orchestration (e.g., Metaflow, MLFlow, AWS Glue). Proficiency in SQL, Python, and at least one data processing framework (e.g., Spark, Flink, TensorFlow, PyTorch). Knowledge of machine learning concepts and applying them in real-world use cases. Ability to package and deploy code to production environments in the Cloud. Experience with AWS, Terraform, Docker, and application of generative AI for business purposes. Experience with monitoring and observability tools (e.g., Datadog, Grafana, Prometheus). Excellent collaboration, critical thinking, and problem-solving skills. Hands-on experience with AWS Data platform. Strong original thinking, project management skills, and ability to thrive in a fast-paced environment. Attention to detail and the ability to influence and motivate team members. Excellent presentation, discretion, rapport-building, and consensus-gaining skills. Ability to work independently and as part of a team; experience coaching and mentoring. Knowledge of CI/CD tools. Up to 5% travel required. Next Steps & Benefits Hyland recruiters will review applications and contact candidates within 1-2 weeks.

For questions, email ******.

Benefits include 401(k), flexible schedule, paid time off, medical/dental/vision, volunteer time off, wellness reimbursement, parental leave, and sabbatical programs.

More info at > About Hyland Since 1991, Hyland has aimed to help employees, customers, and partners exceed their potential with our leading content services platform.

We promote a culture of energy, passion, diversity, and inclusion, supporting career development, wellbeing, and community engagement.

We are committed to Equal Employment Opportunity and non-discrimination policies.

#J-18808-Ljbffr