• Client Quant Developer, Specialist Sales…

    Bloomberg (New York, NY)
    …from initial demos to prospective clients, requirement gathering, prototyping, implementation, deployment and adoption. In addition to software development, you will ... such as R, Java, C# or similar * Experience or qualifications with Data Science and Cloud Computing is a plus What's It Like To Work Here? We work hard. We are… more
    Bloomberg (02/14/25)
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  • Client Quant Developer (Spec Team), Specialist…

    Bloomberg (New York, NY)
    …initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and adoption. In addition to software development, members of ... analysis or machine learning applications in finance + Experience or qualifications with cloud computing is a plus + Experience or qualifications in ML/NLP +… more
    Bloomberg (02/14/25)
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  • Senior Software Engineer- Visibility Detection…

    Bloomberg (New York, NY)
    …Bloomberg's fleet of servers, laptops and desktops as well as those in the Cloud . We play a crucial role in ensuring the confidentiality, integrity, and availability ... Puppet, Ansible, Terraform + Experience in large-scale software design, architecture and deployment + A Degree in Computer Science, Engineering or similar field of… more
    Bloomberg (02/14/25)
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  • Power Platform/Power BI Solution Developer

    City of New York (New York, NY)
    …technology tools in a hybrid mode (on premise and in the cloud ), to support DCP's interdisciplinary staff across five boroughs, including planners, urban ... motivated Power Platform/Power BI Solution Developer to drive the development, deployment , and optimization of business intelligence and process automation solutions… more
    City of New York (02/12/25)
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  • GenAI ML/MLOps Engineering Lead

    S&P Global (New York, NY)
    …in implementing our machine learning engineering operations to ensure the seamless deployment , monitoring, and management of our machine learning models and data ... Airflow, Apache Spark, Kafka, Databricks, MLflow. + Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools. + Distributed systems… more
    S&P Global (02/11/25)
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