Machine Learning Pipeline Engineer

About

Join the forefront of AI technology as a Machine Learning Pipeline Engineer. Develop, optimize, and implement advanced AI/ML models in a fully remote setup.

Your role will center on crafting scalable ML pipelines while coordinating with data scientists and software engineers. You'll manage model deployment and performance optimization, focusing on technologies like Generative AI and Large Language Models within cloud platforms that enhance product offerings.

Responsibilities

• Create and maintain AI/ML pipelines for projects
• Deploy and manage pre-trained AI models
• Collaborate with scientists for production-ready systems
• Enhance model efficiency on cloud environments
• Implement MLOps practices for seamless workflows

Requirements

• Degree in Computer Science or related discipline
• 2-5 years in machine learning engineering
• Proficient in Python, Tensor Flow, or Py Torch
• Experience deploying models in production
• Understanding of cloud platforms and Docker/Kubernetes

Drive innovation in AI by creating cutting-edge solutions that shape the future of technology.