Top Hybrid Software Engineer Jobs in Boston, MA
Seeking candidates experienced in AI and Business Process Automation to join the North American Sales team. Responsibilities include coordinating with Sales Leadership, developing AI solutions, training users, leading internal trainings, and staying updated with AI/ML industry developments. Qualifications require expertise in AI application development, experience with automating business processes, and proficiency in various programming languages and tools. Bachelor's or Master's degree in Computer Science or related field is required.
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
ZS is looking to hire NLP Engineers to bring digitization to the clinical development ecosystem. The NLP Engineer will use cutting edge technology to mine historical trial related documents and build a structured graph-based dataset. Responsibilities include building model pipelines, scaling NLP algorithms, enhancing the NLP platform, implementing ML Ops, and writing production-ready code.
Design, build, and own underwriting services for lending products using data and machine learning technologies. Collaborate with product, data science, and other engineering teams to enable innovative new lending products. Modernize underwriting process to scale for future growth. Ensure highest standards for security and compliance.
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As a Senior Salesforce Engineer, you will lead the development of the Salesforce Platform, collaborate with various teams to deploy new business processes, provide third level support, and drive improvements to the Salesforce ecosystem. Ideal candidate is a quick learner, able to translate requirements into solutions, and work closely with stakeholders.
Experienced software engineer role at Immuta contributing to product development on Cloud Data Platforms. Responsibilities include enhancing data governance controls and ensuring compliance with emerging standards. Opportunity for creative solutions and thought leadership in a hybrid workplace environment.
Join an agile engineering team focused on transforming the way organizations govern and protect data.
The AI Integration Engineer is responsible for leading the planning, execution, and integration of AI technologies within the organization. They work with third party AI companies and cross-functional teams to ensure effective implementation of AI solutions to meet business objectives, enhance operational efficiency, and drive innovation.
You will be an integral part of a software development team building a SaaS platform for the ad-tech industry. On the Basis engineering team, software testers are involved in the full software development life-cycle (SDLC) from iteration planning to retrospectives.
As a full-stack software engineer on the Credit Underwriting Team, responsible for designing, building, and owning underwriting services using data and machine learning technologies. Collaborate with product, data science, and engineering teams to enable innovative lending products and modernize the underwriting process for scalability and security.
Seeking a talented Netsuite developer to scale and customize the Netsuite organization, collaborate with analysts to define business requirements, develop and customize scripts, workflows, RESTlets, and integrations, optimize organizational processes, provide technical support, and build best-in-class solutions.
Design and build responsive and performant UX components for web experiences, collaborate with teams in an agile environment, provide technical guidance, and embrace industry best practices.
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