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Cherre is a notable entity in the real estate industry, recognized as the leading data management platform. The company manages over $3 trillion in Assets Under Management (AUM) globally. They are seeking a Senior Machine Learning Engineer to join their team and make significant contributions to developing ML-powered insights and integrating these applications within Cherre's technology ecosystem.
The Senior Machine Learning Engineer will focus on the following duties:
Develop and deploy Machine Learning (ML) models into production environments.
Innovate and create new ML-based services that will significantly enhance data capabilities.
Design and implement scalable and repeatable ML pipelines, facilitating seamless integration of ML processes within the organization.
Collaborate with data engineering teams to articulate workflows for ingesting data streams pertinent to the ML applications.
The role requires specific skills and qualifications aimed at fostering innovative solutions in real-time environments:
A minimum of 2 years software experience, preferably in an object-oriented language.
At least 3 years of experience in deploying ML models within production settings, with a solid foundation in big data and distributed computing applications.
Familiarity with current Natural Language Processing (NLP) technologies is crucial.
Proficiency in programming languages, specifically Python and SQL.
Experience with tools and technologies such as Airflow, Kubernetes, Docker, and the GCP stack.
While not mandatory, the following will enhance a candidate's application:
A Master’s degree in Computer Science or a related engineering discipline.
Publications or patents linked to the domain of machine learning would be viewed favorably.
Familiarity with advanced technologies like Apache Spark can also be beneficial.
The Senior Machine Learning Engineer at Cherre will be part of an agile full-stack scrum team. The work encourages contributions from all members, thus enabling a collaborative and innovative atmosphere. Cherre promotes an effective onboarding strategy for new employees with a focus on achieving specific 30, 60, and 90-day goals:
30 Days: Integration into the Cherre tech stack, understanding team goals, and taking ownership of a mini-project.
60 Days: Familiarization with the existing ML pipeline and contributing to progress through submitted pull requests.
90 Days: Daily contributions to the ML pipeline, completing the assigned mini-project.
Cherre offers a competitive remuneration package for qualified applicants. The salary range for this position is between $155,000 and $220,000 per year. In addition to a base salary, the company offers numerous benefits:
Cherre is eager to welcome the right candidate into its innovative team, where they will work on exciting problems in machine learning and real estate data management. The company emphasizes equal opportunity hiring practices and encourages applications from a diverse range of candidates, valuing talent over background.
Candidates interested in this rewarding opportunity are encouraged to either apply directly or reach out to the internal talent team for more information about Cherre's technology, team culture, and the unique challenges they address. This position not only offers a chance to work at the intersection of technology and real estate but also positions employees at the forefront of machine learning advancements in an evolving industry.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
