Candidates may work onsite (Urbandale, IA/Austin, TX/Champaign, IL) or RemoteDescription:Overview:Client is seeking a highly skilled artificial intelligence/machine learning engineer, computer vision or NLP scientist, or big data specialist to advance automation and autonomy technologies for sophisticated off-board vehicle instrumentation and controls systems, as well as associated monitoring platforms. In this position, you will collaborate with an innovative team leveraging advanced methodologies and tools, including petabyte-scale datasets, to perform cutting-edge analytics and model development. Your expertise will play a significant role in driving the development of intelligent, automated equipment and enhancing decision-making capabilities for agricultural professionals.We welcome applicants at both early and advanced stages of their careers who can demonstrate significant, independent achievements involving complex and innovative contributions within a dynamic delivery environment. Noteworthy examples or experiences that distinguish you include:Technical:Excellent coding skills that include production software deploymentData engineering, ML modeling, & decision science with terabyte or petabyte level data sourcesExperience (concept to production) developing and deploying novel machine learning solutionsMLOps workflows with tools like AWS services (IAM, Lambda, S3, MLflow), Databricks, or related.Building productionized workflows involving large and disparate data sources (e.g. images, rasters, parquet, time-series, geo-tagged, text, and other unstructured data)Building real-time & interactive dashboards involving spatiotemporal/GIS visualization tools (e.g. Folium, Plotly), and labeling systems like SuperAnnotate, Labelbox, Voxel51.Debugging complex hardware & software systems, and associated data issuesCommunication & Leadership:Influencing without authority, building rapport, persuading key collaborators, communicating progress/recommendations/methods/insights to stakeholders (e.g. product & delivery managers)Scoping work & setting priorities, leading brainstorming sessions & proof of concept studies, organizing teams in an Agile style delivery environment, & executing with consistencyDefine, quantify, and analyze key performance and customer value Indicators/metrics to support successful outcomes.Education & Invention:Advanced technical degree (Ph.D. or equivalent experience preferred)Publishing novel research in journals and conferencesPatents (including delivery of patented solution) Notes:Candidates may work onsite (Urbandale, IA/Austin, TX/Champaign, IL) or RemoteVIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:Overview:Client is seeking a highly skilled artificial intelligence/machine learning engineer, computer vision or NLP scientist, or big data specialist to advance automation and autonomy technologies for sophisticated off-board vehicle instrumentation and controls systems, as well as associated monitoring platforms. In this position, you will collaborate with an innovative team leveraging advanced methodologies and tools, including petabyte-scale datasets, to perform cutting-edge analytics and model development. Your expertise will play a significant role in driving the development of intelligent, automated equipment and enhancing decision-making capabilities for agricultural professionals.We welcome applicants at both early and advanced stages of their careers who can demonstrate significant, independent achievements involving complex and innovative contributions within a dynamic delivery environment. Noteworthy examples or experiences that distinguish you include:
Technical:Excellent coding skills that include production software deploymentData engineering, ML modeling, & decision science with terabyte or petabyte level data sourcesExperience (concept to production) developing and deploying novel machine learning solutionsMLOps workflows with tools like AWS services (IAM, Lambda, S3, MLflow), Databricks, or related.Building productionized workflows involving large and disparate data sources (e.g. images, rasters, parquet, time-series, geo-tagged, text, and other unstructured data)Building real-time & interactive dashboards involving spatiotemporal/GIS visualization tools (e.g. Folium, Plotly), and labeling systems like SuperAnnotate, Labelbox, Voxel51.Debugging complex hardware & software systems, and associated data issuesCommunication & Leadership:Influencing without authority, building rapport, persuading key collaborators, communicating progress/recommendations/methods/insights to stakeholders (e.g. product & delivery managers)Scoping work & setting priorities, leading brainstorming sessions & proof of concept studies, organizing teams in an Agile style delivery environment, & executing with consistencyDefine, quantify, and analyze key performance and customer value Indicators/metrics to support successful outcomes.Education & Invention:Advanced technical degree (Ph.D. or equivalent experience preferred)Publishing novel research in journals and conferencesPatents (including delivery of patented solution)
Notes:
Candidates may work onsite (Urbandale, IA/Austin, TX/Champaign, IL) or Remote
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