Machine Learning Engineer
Kforce
Kforce has a client seeking a remote Machine Learning Engineer to join their team in Atlanta, GA.
Overview:
The team is strictly focused on building and scaling ML models using data to better understand how they can effectively attach trends and ultimately be proactive with sales. This individual will be primarily working on machine learning enablement. In a typical day, they will pair with another engineer and interact with customers - including business users which vary from business analysts to data scientists, and potentially other software engineering teams within the company. The goal is to help them accelerate on their machine learning projects/applications. The team will analyze how users adopt ML and identify the needs, and work with other teams to strategically plan out how to make the machine learning experience better. They will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using a variety of technologies. They will also be building their own models for other teams to then use. This individual will need to be proficient in python/pytorch, tensorflow, Cloud, along with several other languages and technologies. They need to have experience building at least 2+ models on their own from scratch. This is a new team, and their long-term goal is to continue to build/scale ML apps in the cloud and ultimately support the business and their needs to help drive revenue. Overall, this team is very focused on culture which includes willingness to learn new technologies, share knowledge with the team, lend a helping hand when needed, and be a team player.
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