Machine Learning Engineer

Role Overview

Design and implement machine learning models using Python, PyTorch, and TensorFlow to enhance AI capabilities. Develop and optimize data pipelines utilizing Spark and Airflow to ensure efficient data processing. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Deploy and manage machine learning models in production using Kubernetes and MLflow.

What You Will Do

Design and implement machine learning models using Python, PyTorch, and TensorFlow to enhance AI capabilities. Develop and optimize data pipelines utilizing Spark and Airflow to ensure efficient data processing. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Deploy and manage machine learning models in production using Kubernetes and MLflow.

Why It Might Be a Fit

3–8 years of experience in machine learning engineering or data engineering. Proficiency in Python and experience with frameworks such as PyTorch and TensorFlow. Hands-on experience with data orchestration tools like Spark and Airflow.

Requirements

• 3–8 years of experience in machine learning engineering or data engineering
• Proficiency in Python
• Experience with frameworks such as PyTorch and TensorFlow
• Hands-on experience with data orchestration tools like Spark and Airflow
• Familiarity with model deployment and management using Kubernetes and MLflow
• Strong problem-solving skills with a focus on data-driven decision making

Benefits

• Competitive equity options
• Collaborative environment that fosters innovation and growth