AI Engineer III

Terex Corporation•Austin, TX

2d•Onsite

About The Position

The Heil Co (dba 3rd Eye) is seeking an AI Engineer III to develop, program, and train complex algorithms that mimic human brain functions. This role will lead AI initiatives focused on garbage detection systems in extreme environments, developing advanced object detection and tracking models for contaminated waste stream analysis. The position requires expertise in software development, data science, data engineering, and programming, with a focus on uncovering and utilizing data from various sources. The AI Engineer III will create, develop, and test machine learning models, leverage machine learning libraries, and build AI systems related to safety and service. Additionally, they will build and implement AI applications using embedded code or API calls. Domestic (U.S.) travel is required up to 10%.

Requirements

Bachelor’s degree in Engineering, Machine Learning, Data Science or related field and four (4) years of post-baccalaureate experience in job offered or in an AI Engineer III-related occupation.
Demonstrable experience with model development with Sagemaker, Rekognition, and other similar AI tools.
Demonstrable experience with Labeling and annotation (job processing, validation, media adjustments) in AI tools using GroundTruth.
Demonstrable experience with probability and statistics (measuring and evaluating AI in test and real-world scenarios.).
Demonstrable ability to build AI pipelines, model training/retraining processes, and maintain/manage model deployments in an AWS, GCP and/or Local GPU environments.
Demonstrable experience with Cloud software development (HMTL based UIs, S3 storage, and AWS Lambdas, AWS EC2 and/or GCP) to support human-in-the-loop reviews and application integration.
Demonstrable SQL (Snowflake and mySQL) skills to support data analysis and migration of data across multiple environments.
Demonstrable experience with Video editing and processing skillset to clean and refine quality of media from less than ideal, real-world weather and environmental conditions.
Demonstrable development expertise with YOLO, FairMOT AI models, and/or RCNN object detection models.

Responsibilities

Develop, program, and train complex networks of algorithms that encompass AI so those algorithms can work like a human brain.
Lead AI initiatives focused on garbage detection systems in extreme environments, developing advanced object detection and tracking models for contaminated waste stream analysis.
Provide expertise in software development, data science, data engineering and programming, and uncover and pull data from a variety of sources.
Create, develop, and test machine learning models.
Leverage machine learning libraries and build AI system related to safety and service.
Build and implement AI applications using embedded code or application program interface (API) calls.