Genoa Employment Solutions Company Profile

Artificial Intelligence Engineer at Genoa Employment Solutions (Ann Arbor, MI)

About the Employer

Job Description

AI Engineer Artificial Intelligence (AI) and Machine Learning (ML) are a critical component of our growth strategy. To accelerate the adoption of AI techniques within the organization, we are looking for both senior and junior level resourceful AI Engineers to join our team! Duties Define architecture and selecting appropriate runtime components to host AI/ML models Support models built in Python and R Build API interface for AI/ML models Performance test and tune the AI/ML models and any runtime components Support Data Science team with any data movements, data transformation and analysis etc. Engineer and operationalize the AI/ML API environments Deploy new hardware Implement environments in our global data centers Operationalize data center failover processes for inference engines Integrate with corporate security systems, SOC, NOC etc. for monitoring and alerting Define deployment best practices and automate promotion of code/models (DevOps processes) Manage, maintain, refresh and upgrade environmental components (including patching etc.) Capacity management and planning of the environment Optimize the design practices for building AI/ML models Skills Required Must have experience programming with Python Must understand the package management for various environments (Python, R and Hadoop environments) Nice to have experience with Notebooks for data analytics Nice to have experience programming in R language Experience with deployment and management of Windows and Unix VMs Nice to have experience deploying and managing containers Some experience understanding the AI/ML approaches Must have experience scripting with shell script and/or PowerShell Must have experience with administration of Hadoop ecosystem specifically HDFS, Hive and Spark Nice to have experience implementing and managing Kafka Nice to have Site Reliability Engineering experience (1+ years) Nice to have experience with GPU based compute for AI/ML learning and inference engine Qualifications 6-8 years of IT experience (or 4 years of IT experience with Masters degree) At least 2-3 years of data science or engineering experience At least 2 years of operations and management experience with data and/or online transactional platforms Team player and the ability to work in a collaborative environment Must be highly resourceful and creative in fulfilling the job requirements Must be a great communicator Must be able to work independently with limited management