Machine Learning Engineer

Kforce has a client that is seeking a remote Machine Learning Engineer to join their team. Summary: This role focuses on building, scaling, and enabling machine learning solutions across the organization. In this role, you will work closely with other engineers and a broad range of internal stakeholders to accelerate machine learning initiatives and improve how ML is adopted and used across teams. The team emphasizes a strong learning culture, collaboration, and knowledge sharing. Curiosity, willingness to learn new technologies, and being a supportive team player are considered core to success in this role. Key Responsibilities include:

• Supporting and enabling other teams' ML projects, designing and delivering end-to-end production-ready ML pipelines, and contributing to MLOps efforts for both deep learning and traditional machine learning models
• Analyzing how teams use ML, identifying gaps or needs, and collaborating with platform and innovation teams to improve the overall ML experience
• Build and maintain models that can be reused by other teams and help drive scalable ML applications in the cloud; The work spans model development, deployment, and operationalization using modern ML frameworks and cloud-native tooling
• Computer Science degree/Master's degree in ML/AI or equivalent experience
• 2+ years of ML/Data Science experience
• Experience with VertexAI
• Understands data science from hypothesis to production
• Proficiency in Python, Pytorch, TensorFlow and GCP
• Strong in SQL
• Strong communication and culture fit

• Good customer service spirit - Understand the needs of customers well and provide suggestions and solutions
• Taking ownership of an issue - Take action or seek resources to resolve the issue and continue to follow-up towards the end
• Curiosity and willingness to learn - Learning different domain knowledge and tools across the company and may need to pick up customer's own solution to an extent
• Communication skills - Ability to organize and summarize information well and deliver message in a well perceived manner