CompStak envisions a commercial real estate industry in which accurate and transparent data leads to better, faster deals for everyone. We gather critical information that is hard to access, then make it instantly and seamlessly available to our platform members.Launched in 2012, we’ve built a network of 25,000 brokers, appraisers and research professionals across the country, using a unique crowdsourced model. Our clients enjoy the foremost lease and sale transaction data combined with a robust analytics platform. CompStak’s unique data and intuitive platform is used by the world’s largest real estate investors, lenders, brokers and appraisers to compare properties, underwrite investments and loans, close deals and track market trends.CompStak has 100 team members in the US and overseas; and we continue to grow. We’re backed by top VCs and industry players like Morgan Stanley, Canaan Partners, IA Capital, Transamerica, Moody’s, RealPage, 500 Startups, and Daily Mail Group, and have raised over $75m to date. Our HQ is in New York City, we have regional offices in Atlanta, Chicago and Los Angeles, and we have an international office in Belgrade, Serbia.
MLOps in CompStak is not just DevOps for Machine Learning. We are looking for a MLOps Engineer to apply best practices and progressive developments to the whole lifecycle of production ML services. Main tasks include productionizing , deploying, and monitoring machine learning pipelines as well as making our ML Services testable, resilient and automated. This role is an exciting opportunity for anyone looking to develop end-to-end ML production systems: project scoping, data needs, modeling strategies, and deployment.Responsibilities
- Build and maintain the Machine Learning pipelines and related software applications
- Simplify the Machine Learning project development and deployment cycle
- Work closely with data scientists to develop ML models
- Evolve the data science development toolkit
Skills Qualifications
- 2+ years of programming experience in developing and deploying machine learning projects
- Proficiency with Python programing in production environment
- Experience with SQL/NoSQL database and data warehouse (i.e. MySQL, Postgres, Snowflake)
- Experience with common data science frameworks (i.e. Pandas, Numpy, Scikit-learn, Tensorflow)
- Experience with containerization technologies (i.e. Kubernetes, ECS, Docker)
- A big plus with experience in Graph Analytics
We pride ourselves on an environment that is fun, collaborative, and rewards hard work. We look forward to the value that future employees will add to our amazing teams!
CompStak is an equal opportunity employer that celebrates employees and applicants of all identities, backgrounds, abilities, and perspectives. We foster a welcoming work environment that supports diversity and inclusion, and we reject discrimination or harassment of any individual. If you are a person with a disability and require assistance with any part of the application process, please let us know. All employment decisions are made on the basis of qualifications, merit, and business need.