Machine Learning Enginer - Jobs via Dice : Job Details

Kforce has a client seeking a fully remote Machine Learning Engineer to join their team.

Overview:

This team is focused on building and scaling ML models using data to understand trends and proactively support sales. The role involves machine learning enablement, accelerating ML projects/applications, and assisting with MLOps projects to deliver end-to-end, production-ready ML pipelines for deep learning and non-representation-based models using tools like Vertex AI, MLflow, TensorFlow, PyTorch, TensorFlow Serving, Torch Serving, Docker, Kubernetes, and Google Cloud Platform. The engineer will also build models for other teams to use. Proficiency in Python/PyTorch, TensorFlow, and Google Cloud is required, along with experience building at least two models from scratch. The team values a culture of learning, knowledge sharing, teamwork, and collaboration.

• Computer Science degree/Master's in ML/AI or equivalent experience
• 2+ years of ML/Data Science experience
• Proficiency in Python, PyTorch, TensorFlow, and Google Cloud Platform
• Experience with Vertex AI
• Strong SQL skills
• Understanding of data science from hypothesis to production
• Strong communication skills and cultural fit (outgoing, team player, collaborative)

Additional information about compensation, benefits, and company values is included but has been summarized here for clarity.