Machine Learning Engineer

Responsibilities Remote Machine Learning Engineer position in Atlanta, GA. This team is focused on building and scaling ML models using data to better understand how they can effectively attach trends and ultimately be proactive with sales. The engineer will primarily work on machine learning enablement, pairing with another engineer and interacting with customers—including business users ranging from business analysts to data scientists, as well as other software engineering teams.

The goal is to accelerate machine learning projects and applications. The team will analyze user adoption of ML, identify needs, and collaborate with other teams to strategically plan improvements to the machine learning experience. This is a new team with a long‑term goal of building, scaling, and supporting ML applications in the cloud to drive revenue.

The culture emphasizes willingness to learn new technologies, share knowledge, lend a helping hand, and be a team player. Machine Learning Engineers will assist other teams on MLOps projects to deliver end‑to‑end production‑ready ML model pipelines for deep learning and non‑representational ML models using Vertex AI, MLflow, TensorFlow, PyTorch, scikit‑learn, TensorFlow Serving, TorchServe, mlflow-serving, Docker, Kubernetes, and GCP. They will also build their own models for other teams to 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 Vertex AI Strong SQL skills Understanding of data science from hypothesis to production Strong software engineering background Strong communication and culture fit (outgoing, team player, extremely collaborative) Experience building at least two models from scratch We offer comprehensive benefits, including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off; hourly employees are not eligible unless required by law. Kforce is an Equal Opportunity/Affirmative Action Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. #J-18808-Ljbffr