AI Engineer III
About The Position
This position will develop, program, and train complex networks of algorithms that encompass AI so those algorithms can work like a human brain. The 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 AI Engineer III will provide expertise in software development, data science, data engineering and programming, and uncover and pull data from a variety of sources. They will create, develop, and test machine learning models, leverage machine learning libraries and build AI systems related to safety and service. The role also involves building and implementing AI applications using embedded code or application program interface (API) calls. Domestic (U.S.) travel is required up to 10%.
Requirements
- Bachelor’s degree in Engineering, Machine Learning, Data Science or related field.
- 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.
- Domestic (U.S.) travel required up to 10%.
Responsibilities
- Develop, program, and train complex networks of algorithms that encompass AI.
- Lead AI initiatives focused on garbage detection systems in extreme environments.
- Develop advanced object detection and tracking models for contaminated waste stream analysis.
- Provide expertise in software development, data science, data engineering and programming.
- Uncover and pull data from a variety of sources.
- Create, develop, and test machine learning models.
- Leverage machine learning libraries and build AI systems related to safety and service.
- Build and implement AI applications using embedded code or application program interface (API) calls.
Benefits
- paid vacation
- 401(k)
- medical
- dental
- vision
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What This Job Offers
Job Type
Full-time
Career Level
Senior
