R&R IT Consulting is seeking a skilled Data Engineer / MLOps Specialist to design and implement robust data pipelines and machine learning operations that power cutting-edge solutions for our clients. In this remote role, you'll collaborate with cross-functional teams to optimize data workflows and ensure seamless model deployment in production environments.

At R&R IT Consulting, we specialize in delivering innovative IT solutions that transform businesses through data-driven insights and advanced analytics. As a Data Engineer / MLOps Specialist, you will play a pivotal role in our mission by architecting scalable data infrastructure and streamlining the deployment of machine learning models.

Your responsibilities will include developing and maintaining ETL pipelines to handle large-scale data ingestion, transformation, and storage. You will implement MLOps best practices to automate model training, validation, and serving, ensuring high availability and performance in production. Collaboration with data scientists, software engineers, and stakeholders will be key to translating complex requirements into efficient systems.

We value innovation and continuous improvement, providing you with the tools and autonomy to experiment with emerging technologies. This remote-certified position requires the Python Programming certification to ensure alignment with our technical standards and enables you to contribute to diverse projects across industries from day one.

If you are passionate about data engineering and excited to advance your MLOps expertise in a supportive consulting environment, apply now to join our growing team at R&R IT Consulting.

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 3+ years of experience in data engineering, with a focus on MLOps practices
• Proficiency in Python, SQL, and tools like Apache Airflow, Kubernetes, and Docker for orchestration and deployment
• Strong knowledge of cloud platforms such as AWS, GCP, or Azure, including services for data storage and ML workflows
• Experience with machine learning frameworks like TensorFlow or PyTorch and CI/CD pipelines for ML models
• Excellent problem-solving skills and ability to work independently in a remote setting
• Familiarity with data warehousing solutions like Snowflake or BigQuery

• Competitive monthly salary with performance-based incentives
• Fully remote work flexibility with comprehensive support for home office setup
• Professional development opportunities, including access to certifications and conferences
• Health, dental, and vision insurance coverage
• Generous paid time off and flexible working hours
• Collaborative team environment with mentorship from industry experts
• Stock options and profit-sharing for long-term contributors