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Engineering Director Machine Learning
Engineering Director Machine LearningBerkadia • Salt Lake, Utah, USA
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Engineering Director Machine Learning

Engineering Director Machine Learning

Berkadia • Salt Lake, Utah, USA
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Are you looking for an opportunity to make an impact and shape the future of the commercial real estate (CRE) industry

The Engineering Director - Machine Learning is responsible for building growing and managing a team that delivers state-of-the-art GenAI and Machine Learning (ML) solutions to redefine the commercial real estate industry. This is an exciting opportunity to join an already successful team that has been instrumental in the success of our Berkie platform which is actively reshaping our industry. With numerous initiatives underway backed by strong support and buy-in from various lines of business this role involves leading a team that collaborates closely with product engineering architecture data and other software engineering teams to understand problems and deliver impactful solutions. Opportunities exist to push the boundaries of Berkadias data and content generation capabilities by providing GenAI and ML solutions to improve revenue generation risk reduction and efficiencies.

Innovation meets excellence at Berkadia where we give you the space you need to create and allow your ideas to flourish. We are leading the evolution of CRE and cant do that without innovators who are driven by curiosity and are willing to challenge the status quo as they chart their career path and Berkadias future. Be Part of Building the Next. Be Berkadia.

We Innovate to shape the future of CRE so in this role you will :

Responsibilities :

  • Develop and execute organizational machine learning strategy aligning technical capabilities with business objectives and growth targets.
  • Lead and grow a team of Machine Learning Engineers Product Managers and Software Engineers coaching them on discovering and implementing next-generation GenAI and ML solutions and scaling their teams.
  • Oversee the design development and deployment of scalable machine learning systems and infrastructure across multiple business domains.
  • Guide technical decision-making on model architecture framework selection and infrastructure planning.
  • Collaborate closely with product data and software engineering to develop their road map and deliverables.
  • Identify ways to use ML for new business cases that produce business value.
  • Lead the generation of predictive algorithms generative AI solutions & intelligent document processing that enhance and automate workflows and decision making at the organization
  • Analyze requirements and collaborate with product architecture data teams and software engineering teams .
  • Implement designs with minimal assistance .
  • Write accurate production-quality code using OpenAI AWS Azure and PySpark .
  • Build and test code to validate functionality against requirements and ensure full unit test coverage.
  • Participate in peer code reviews both as a submitter and a reviewer.
  • Thoroughly document code and design.
  • Assist in the development and presentation of materials.
  • Provide staff and clients with training and technical assistance related to new existing and revised products.
  • Provide post-release support to internal and external customers.
  • Identify improvements in the software development lifecycle.
  • Stay current with new technology and design patterns.
  • Other duties as assigned.

We Stand for Excellence so to achieve success in this role you should have :

Preferred Qualification s :

  • Experience building and tuning machine learning models
  • Experience delivering Machine Learning solutions
  • Proficiency in R and / or Python Javascript . Experience with Spark.
  • Strong experience with Scrum methodology and Agile practices as well as Open Source technologies.
  • Excellent verbal and written communication skills with strong logical analytical and problem-solving abilities.
  • We believe People Matter so we offer benefits that go beyond :

  • Monthly paid volunteer hours and donation matching to benefit our communities
  • Employee Resource Groups that help you grow with us
  • Fertility and family planning services
  • Up to 12-weeks of fully paid parental leave
  • Mental health care including free counseling sessions :
  • Well help fund your learning journey with generous tuition reimbursement
  • Pet insurance discounts
  • And more!
  • Be Part of Building the Next. Be Berkadia.

    #LI-HG1 #LI-HYBRID

    Berkadia as an equal opportunity employer celebrates our employees unique differences which we believe drives personal and company-wide innovation and creates a people-first culture where your career can take the long view. To achieve these goals we are committed to the full inclusion of all qualified individuals without regard to race religion age color national origin gender sexual orientation gender identity or expression marital status domestic partner status military and veteran status disability pregnancy parental status genetic information political affiliation or any other status protected by federal state and local laws.

    In keeping with our commitment Berkadia takes the necessarysteps to provide a workplace free from harassment and discrimination as well as access and reasonable accommodations for individuals with you require reasonable accommodation to take part in the interview process please contact

    You have rights under Federal and State employment laws. No question in this Application is intended to elicit information in violation of any such law nor will any information obtained in response to any question be used in violation of any such law. If you apply for this role you are acknowledging Berkadias Application Policyand Berkadias Privacy Policy. Please click the following links for more information about : EEOC Employee Rights under the FMLA EPPA.

    Required Experience :

    Director

    Key Skills

    Go,Lean,Management Experience,React,Node.js,Operations Management,Project Management,Research & Development,Software Development,Team Management,GraphQL,Leadership Experience

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Director Machine Learning • Salt Lake, Utah, USA

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