Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
We are seeking a highly skilled and motivated MLOps Engineer to join our team. As an MLOps Engineer, you will play a critical role in bridging the gap between machine learning model development and operational deployment. You will work closely with data scientists and engineers to automate and streamline ML model integration into our production environments.
YOU Will
- Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.- Facilitate the deployment of machine learning models at scale in production environments.
- Implement automated pipelines for model training, validation, and deployment using CI/CD practices.
- Monitor, manage, and optimize the performance of deployed models, ensuring they operate efficiently and reliably.
- Collaborate with data scientists to implement machine learning models that leverage structured and unstructured data.
- Enhance data collection procedures to include all relevant information for building analytic systems.
- Implement monitoring systems to track model performance and data quality.- Ensure compliance with data governance and security policies.
- Stay updated with the latest technology trends and innovations in MLOps, ML, AI, and cloud services.
YOU HAVE
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong experience in Python, R, or another scripting language.
- Ability to understand tools used by data scientists and experience with software development and test automation.
- Experience building custom integrations between cloud-based systems using APIs.
- Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Good to have experience with cloud services (AWS, Azure, GCP)- Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and infrastructure as code (e.g., Terraform, Ansible).
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
We could tell you that we’re building something that truly optimizes the way business intelligence is done. We could also tell you that we’re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine’s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner® Magic Quadrant™ and the 2022 Gartner® Market Guide. All true, but the real reason you will want to come work for Incorta is that you’ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Apply for this job
