Machine Learning Engineer
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Job Description
Kforce is seeking a fully remote Machine Learning Engineer to join their client’s team. The company emphasizes a strong team culture focused on collaboration, knowledge sharing, and a willingness to learn new technologies. This is a new team aiming to build and scale ML applications in the cloud to support business needs and drive revenue.
The job involves primarily working on machine learning enablement, accelerating ML projects and applications. Responsibilities include:
• Assisting other teams with MLOps projects to deliver end-to-end production-ready ML model pipelines. This includes working with deep learning and non-representation-based ML models.
• Utilizing technologies such as Vertex AI, MLflow, TensorFlow, PyTorch, Sci-kit learn, TensorFlow Serving, Torch Serving, mlflow Serving, Docker, Kubernetes, and GCP.
• Building your own ML models for other teams to use.
The ideal candidate will possess:
• A Computer Science degree/Masters in ML/AI or equivalent experience.
• 2+ years of ML/Data Science experience.
• Expertise with Vertex AI.
• A strong understanding of the data science process, from hypothesis to production.
• Proficiency in Python, PyTorch, TensorFlow, and GCP.
• Strong SQL skills.
• Excellent communication skills and a collaborative team-player attitude.
The compensation package includes comprehensive benefits (medical/dental/vision insurance, HSA, FSA, 401(k), life, disability & ADD insurance), with paid time off for salaried employees. This position is not eligible for bonuses, incentives, or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.
