MLOps Engineer 4

The MLOps Engineer 4 is responsible for designing developing and deploying scalable end to end machine learning solutions with an emphasis on Generative AI systems. This position will build and maintain impactful production grade ML systems. The MLOps Engineer 4 will be skilled in both model development and operational deployment ensuring the reliability and scalability of advanced ML applications.

Develop and automate processes for deploying machine learning models to production environments ensuring that models are accessible and performant in real-world settings.
• Develop/maintain scalable ML Platform providing inference and fine-tuning services
• Implement security protocols for data and model handling and design solutions that can scale with increased data volume and usage.
• Create select and test features that improve model performance and align with business needs often through domain knowledge and statistical analysis.
• Work closely with product backend and frontend teams to build seamless integrated software solutions.
• Facilitate the collection and analysis of feedback data for continuous improvement.
• Operate as a trusted advisor on issues and trends; provide general consulting services leveraging expertise and significant best practice knowledge.
• Operate as an innovative thought leader; contribute significantly to the overall growth and quality of the department through knowledge sharing and coaching on current best practices and market trends.
• Mentor coach train and provide feedback to other team members; provide feedback to leadership on abilities of team.
• Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland's Information Systems Security Policy

• Bachelor's degree or equivalent experience
• Proven experience in ML engineering MLOps and/or LLMOps.
• Hands-on experience with ML platform frameworks (e.g. MLflow) and ML frameworks (e.g. PyTorch TensorFlow).
• Proficiency in orchestrating data and ML pipelines using tools like Metaflow Airflow Dagster Prefect or AWS Glue.
• Strong programming skills in Python and SQL with experience in at least one data processing framework (e.g. Spark Flink Kafka).
• Familiarity with both relational and non-relational databases vector databases and graph databases (e.g. PostgreSQL MongoDB Pinecone ElasticSearch).
• Experience with monitoring and observability tools (e.g. Datadog Grafana Prometheus).
• Proficient in cloud services particularly AWS and infrastructure management tools like Terraform and Docker.
• Ability to package and deploy code in cloud production environments.
• Excellent collaboration skills applied successfully within team as well as with all levels of employees in other areas
• Excellent critical thinking and problem solving skills
• Hands-on experience with AWS Bedrock and Sagemaker.
• Experience applying GenAI to business use cases for specific problem-solving or automation.
• Excellent ability to use original thinking to translate goals into the implementation of new ideas and design solutions
• Self-motivated with the ability to manage projects to completion independently
• Able to thrive in a fast paced deadline driven environment
• Excellent attention to detail
• Demonstrated ability to influence motivate and mobilize team members and business partners
• Excellent ability to develop and use engaging informative and compelling presentation methodologies
• Excellent ability to handle sensitive information with discretion and tact
• Excellent ability to establish rapport and gain the trust of others; effective at gaining consensus
• Ability to work independently and in a team environment
• Ability to coach mentor and provide feedback to team members in a timely manner
• Ability to provide guidance and support to developing team members
• Knowledge of CI/CD tools
• Up to 5% travel time required

Based on individual states' employment laws, the following details are to comply with the relevant salary posting requirements: base salary range of $156,000-195,000 and eligible for bonus and benefits

What you can expect next

• Hyland Recruiters thoroughly review every application and will contact you within 1 to 2 weeks regarding next steps. Be sure to add Hyland to your contacts list and check your spam folder so you never miss a message from us!
• Any follow up questions? Email your Recruiter directly at Careers@Hyland.com.

Benefits

401(k) Retirement Savings. Flexible Schedule. Paid Time Off. Medical, Dental, Vision. Volunteer Paid Time Off. Wellness Reimbursement. Paid Parental Leave. Sabbatical Program.

Find out more by going to https://www.hyland.com/en/resources/articles/why-work-at-hyland .

Welcome to #HylandLife

Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do - whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.

The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.

As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.