Top Machine Learning Jobs in Portland, OR

The Pre-Sales Engineer will support sales activities by providing technical direction, presenting product features to customers, conducting requirements analysis, designing solutions, and acting as a liaison between sales and technical teams. They will also maintain knowledge of industry trends and best practices, and manage stakeholder expectations.

The Manager of Digital Transformation will develop and implement a digital strategy aligned with company goals, lead transformation projects, collaborate with stakeholders, assess and integrate technologies, manage change, utilize data analytics for decision-making, and foster a culture of innovation.

As a Senior Presales Solutions Architect at Udacity, you will collaborate with sales and customer success teams to align tech training solutions with customer business goals. Your role involves engaging with prospects throughout the sales process, delivering technical insights, and building relationships with key stakeholders to drive revenue growth.

The Customer Success Manager/Senior Customer Success Manager at Viz.ai is responsible for enhancing customer relationships, optimizing the use of Viz.ai technology, and ensuring clinical, financial, and operational success for healthcare clients. The role involves training users, monitoring engagement, driving contract renewals, and expanding the business within existing accounts.

As a Senior Data QA Engineer, you will ensure data accuracy and reliability within healthcare systems, develop QA processes, validate data integrity, and utilize machine learning for automation. You will collaborate with data scientists and engineers to enhance data quality, perform audits, and guide teams on QA best practices.

The Senior Product Manager will lead initiatives to enhance data collection and intelligence for energy data, identify use cases, scope solutions, launch products, and collaborate with various stakeholders to deliver effective solutions for customers in the clean energy sector.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

The role involves analyzing business requirements, constructing data flow processes, consulting on design reviews, and developing Business Intelligence strategies. The consultant will also manage client issue escalations, lead validation for data quality, and work with cross-functional teams to implement scalable solutions.