Our vision is to transform how the world uses information to enrich life. Join an inclusive team passionate about one thing : using their expertise in the relentless pursuit of innovation for customers and partners.
The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible.
We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Responsibilities include, but not limited to :
Build and maintain data / solution pipelines that feed machine learning models
Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence
Design and optimize data structures in data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI / ML solutions.
Build custom software components and analytics applications
Create / Maintain CI / CD pipelines of machine learning solutions in the cloud
Education Qualifications :
Technical Degree required. Computer Science or Statistics background highly desired
Minimum Qualifications :
Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models
Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
Familiarity with software architecture (data structures, data schemas, etc.).
Software development skills and the desire to work on cutting edge development in a Cloud environment
Strong scripting and programming skills in one of the following, Python or Java
Experience with continuous integration / continuous delivery (CI / CD) tools (Jenkins, Git, Docker, Kubernetes)
Experience developing Machine Learning or A.I. solutions with either Python, AWS, AZURE, GCP
3+ years building scalable ETL pipelines
3+ years of experience with big data processing and / or developing applications and data sources
3+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)
Outstanding analytical thinking, interpersonal, oral and written communication skills
Proficiency in the Microsoft Office suite
Ability to prioritize and meet critical project timelines in a fast-paced environment
Self-motivated and team oriented
Deep knowledge of math, probability, statistics and algorithms Demonstrated ability to study and transform data science prototypes into production solutions
Knowledge of computer vision and / or signal processing including techniques for classification and feature extraction