Machine Learning Engineer - Remote

Overview

At NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.

We're a team of excellence-driven individuals, valuing thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.

As a Machine Learning Engineer (MLOPS) at NobleAI, you will deliver the capability to deploy models and data using cloud-managed and open-source toolset and services. The ML Engineer with an MLOps focus is responsible for working closely with research and engineering teams to design and enable platform features that allow batch and real-time inferences. You will also provide engineering best practices and create templates and self-service modules to accelerate research scientists and other ML engineers to automate and shorten the path to production deployments. You will build configurable, scalable software modules that can be used to standardize deployments for batch and real-time requirements.

Join us in building a more sustainable world through the power of AI and scientific innovation.

In Short

• Deliver capability to deploy models and data using cloud-managed and open-source tools.
• Work closely with research and engineering teams.
• Design and enable platform features for batch and real-time inferences.
• Provide engineering best practices.
• Create templates and self-service modules for ML engineers.
• Automate and shorten the path to production deployments.
• Build configurable, scalable software modules.
• Focus on sustainable technologies and products.
• Empower engineers and researchers.
• Contribute to a sustainable world through AI.

Requirements

• Experience in Machine Learning and MLOps.
• Proficiency in cloud-managed services.
• Strong software development skills.
• Ability to work in a team environment.
• Knowledge of batch and real-time data processing.
• Experience with scalable software design.
• Strong problem-solving skills.
• Excellent communication skills.
• Passion for sustainable technologies.
• Background in material science or chemistry is a plus.

Benefits

• Opportunity to work on innovative projects.
• Collaborative and respectful work environment.
• Focus on sustainability and impact.
• Professional growth and development opportunities.
• Competitive salary and benefits.
• Flexible work arrangements.
• Access to cutting-edge technology.
• Supportive team culture.
• Contribute to meaningful work.
• Work with a team of excellence-driven individuals.