MLOps Engineer – Databricks Certified
Location: Denver, CO
Job Type: Contract
Company: IDR
Category: 3rd Party Applications
Job Description Apply Now
If you are passionate about machine learning, cloud computing, and automation, a career as an MLOps Engineer – Databricks Certified offers an exciting opportunity to leverage your expertise in a dynamic, technology-driven environment. This contract position allows you to contribute to innovative ML operations for a forward-thinking organization, working alongside a supportive team dedicated to delivering high-quality data solutions. As an MLOps Engineer – Databricks Certified, you will play a pivotal role in designing, building, and maintaining end-to-end ML workflows that support scalable, secure, and reliable deployment of machine learning models.
In this role, you will utilize your hands-on experience with Databricks, MLflow, Delta Lake, and Spark to develop and optimize ML pipelines that drive business insights and operational efficiencies. You will collaborate closely with cross-functional teams to implement best practices in CI/CD for ML solutions, using platforms such as GitHub Actions, Azure DevOps, or Jenkins. Your proficiency in major cloud environments, including AWS, Azure, or GCP, will be essential in ensuring seamless integration, scalability, and governance of ML systems. The ideal candidate will have a Databricks Certification and a proven track record in supporting distributed data processing and ML lifecycle management through Python scripting and automation.
As an MLOps Engineer – Databricks Certified, you will enjoy a competitive compensation package and comprehensive benefits, including medical, vision, and dental coverage. You will have the opportunity to work with an industry leader recognized for its collaborative culture and commitment to employee development. With over 25 years of experience and a reputation for excellence, the company provides a supportive environment that values innovation, diversity, and professional growth. If you are ready to advance your career in machine learning operations, we invite you to apply now by clicking the job application button below.
MLOps Engineer – Databricks Certified Summary- Lead the design, implementation, and maintenance of robust machine learning workflows using Databricks and related tools.
- Work collaboratively with data engineers, data scientists, and other stakeholders to deliver scalable, governed, and secure ML solutions.
- Enable automation and continuous integration/continuous deployment (CI/CD) for ML pipelines to optimize the end-to-end lifecycle of machine learning applications.
- Utilize expertise in cloud platforms, distributed data processing, and Python programming to support advanced machine learning operations.
- Collaborate with multidisciplinary teams to architect and maintain ML workflows using Databricks, MLflow, Delta Lake, and Spark.
- Design, develop, and manage CI/CD pipelines for ML models utilizing tools such as GitHub Actions, Azure DevOps, or Jenkins.
- Implement and enforce model governance, security, and production reliability protocols throughout the ML lifecycle.
- Leverage cloud platforms (AWS, Azure, GCP) to architect scalable, efficient, and secure ML environments.
- Develop Python scripts to facilitate distributed data processing, data ingestion, feature engineering, and automated model deployment.
- Monitor, troubleshoot, and optimize ML pipelines to ensure high availability and performance of production systems.
- Document processes, maintain best practices, and contribute to continuous improvement initiatives in ML operations.
- Competitive compensation package based on experience and expertise.
- Comprehensive benefits, including medical, dental, and vision coverage.
- Opportunity to work with an industry-leading organization that values professional development and team collaboration.
- Employee Stock Ownership Program and additional insurance options available.
- Recognition as a Best of Staffing® Client and Talent Award winner for 12 consecutive years.
- 5-10 years of experience in MLOps, Data Engineering, or related fields within cloud-based environments.
- Databricks Certification, such as Associate Data Engineer, Professional Data Engineer, or ML Practitioner.
- Demonstrated experience building and managing ML pipelines with MLflow, Delta Lake, and Spark.
- Proficiency with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) and cloud platforms (AWS, Azure, GCP).
- Strong Python programming skills, especially for distributed data processing and ML automation.
- Deep understanding of model governance, security, and reliability in production environments.
- Proactive problem-solver with a passion for automation and operational efficiency in ML environments.
- Excellent communicator and collaborator, skilled at working in cross-functional teams.
- Keen on staying abreast of industry trends, ML best practices, and emerging technologies.
- Detail-oriented and committed to maintaining high standards of data security, compliance, and reliability.
- This position is contract-based with opportunities for professional growth and further engagement based on performance.
- The company fosters an inclusive, team-oriented culture and is committed to equal opportunity employment practices.
- Applicants of all backgrounds are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
- IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. You may access this form here.
Advance your career in machine learning operations by applying today. Click the job application button to take the next step as an MLOps Engineer – Databricks Certified and join a team at the forefront of data innovation.