Join Subhujo Technologies as a Senior Machine Learning Engineer and play a key role in developing a robust AI/ML platform. You'll work with cutting-edge tools and technologies to enhance machine learning workflows and ensure seamless deployment.
Innovative and tech-driven
At Subhujo Technologies, the team is dedicated to building and enhancing a production-grade AI/ML platform that supports various stages of machine learning, including training, validation, and deployment. This role is crucial for ensuring that the platform operates efficiently at an enterprise scale, allowing for the integration of advanced machine learning capabilities into business processes.
As a Senior Machine Learning Engineer, your day-to-day responsibilities will include developing reusable libraries and machine learning workflows, creating secure endpoints, and designing JSON schema-driven interfaces. You will also be involved in automating pipelines that align with the company's GitHub Actions strategy, ensuring that the deployment process is smooth and efficient.
This position is ideal for someone with a strong foundation in Python and MLOps, as well as experience with tools like Terraform and Google Cloud Build. You should be comfortable working in a class-based, API-driven environment and have a passion for building scalable solutions that can adapt to evolving business needs.
Key requirements for this role include: • Proficiency in Python and MLOps practices • Experience with Terraform and Google Cloud Build • Familiarity with Ansible for automation • Ability to work collaboratively in a fast-paced environment
If you are looking to make a significant impact in a tech-driven company and enjoy working on innovative projects, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.