Machine Learning Engineer

Kforce Inc is seeking a remote Machine Learning Engineer to join their team in Atlanta, GA. This role focuses on building and scaling ML models to enhance sales strategies and support machine learning projects for various business users. The engineer will collaborate with other teams to deliver production-ready ML model pipelines and improve the overall machine learning experience.

Responsibilities:

• Kforce has a client seeking a remote Machine Learning Engineer to join their team in Atlanta, GA
• This 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 person 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 on accelerating their machine learning projects/applications
• This team will analyze how users adopt ML and identify the needs, and work with other teams to strategically plan out how to make machine learning experience better
• 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
• The Machine Learning Engineer 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 Vertex AI, MLFLOW, TensorFlow, Pytorch, Sci-kit learn TensorFlow Serving, Torch Serving, mlflowServing, Docker, Kubernetes and GCP
• They will also be building their own models for other teams to then use

Requirements:

• Computer Science degree/Master's degree in ML/AI or equivalent experience
• 1-6+ years of ML and Data Engineering Experience
• Proficiency in Python, Pytorch, Tensorflow and GCP
• Experience with VertexAI
• Strong in SQL
• Understands data science from hypothesis to production
• Overall strong software engineering background
• Strong communication and culture fit (outgoing, team player, extremely collaborative)
• Proficient in python/pytorch (and other libraries) tensorflow, Cloud (GCP a plus), along with several other languages and technologies
• Experience building at least 2+ models on their own from scratch