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Title: Data Scientist / Machine Learning Engineer - Remote

Mandatory skills:

artificial intelligence, machine learning,

big data, datasets, cutting edge analytics, model development,

vehicle instrumentation, controls systems, monitoring platforms,

Data engineering, ML modeling,

automated equipment, coding, production software deployment,

MLOps workflows, AWS services, IAM, Lambda, S3, MLflow, Databricks,

data sources, images, rasters, parquet, time-series, geo-tagged, text, unstructured data,

labeling systems, SuperAnnotate, Labelbox, Voxel51,

dashboards, spatiotemporal, GIS visualization tools, Folium, Plotly,

hardware systems, software systems, data issues, journals, conferences,

Agile style delivery environment, key performance, Indicators,

collaboration, develop, deploy, analysis, communication, decision making, debugging

Description:

Overview:

The 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 deployment

Data engineering, ML modeling, & decision science with terabyte or petabyte level data sources

Experience (concept to production) developing and deploying novel machine learning solutions

MLOps 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 issues

Communication & 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 consistency

Define, 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 conferences

Patents (including delivery of patented solution)

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

VIVA USA INC.

3601 Algonquin Road, Suite 425

Rolling Meadows, IL 60008