Job Description
As a Machine Learning Engineer, you will work closely with other ML engineers, ML
Scientists, and Platform Engineers to build AI-powered solutions for our customers. You
will play a pivotal role in contributing to all components of Protopia’s flagship Stained
Glass product lifecycle such as training, hyper-parameter tuning, evaluation, and
deployment. The ideal candidate will have a strong background in machine learning,
proficiency in professional programming, a passion for innovation, and the ability to
work in a fast-paced, collaborative environment.
Scientists, and Platform Engineers to build AI-powered solutions for our customers. You
will play a pivotal role in contributing to all components of Protopia’s flagship Stained
Glass product lifecycle such as training, hyper-parameter tuning, evaluation, and
deployment. The ideal candidate will have a strong background in machine learning,
proficiency in professional programming, a passion for innovation, and the ability to
work in a fast-paced, collaborative environment.
Requirements
A successful candidate will bring at least 2 – 3 years of experience and possess the
following skills:
A successful candidate will bring at least 2 – 3 years of experience and possess the
following skills:
- Proficiency in Python.
- Hands-on experience with deep learning frameworks including but not limited to
PyTorch. - Proven experience in developing and deploying deep learning models in a
production environment. - Experience with training or fine tuning Large Language Models (llama or similar or
larger) - Familiarity with AWS and containers
- Excellent problem-solving skills and the ability to think critically about complex
technical challenges. - Effective communication skills and the ability to collaborate with cross-functional
teams.
Preferred
- Experience in deploying deep learning models at scale.
- Experience with MLOps tools such as WandB, Flyte, Kubeflow, MLFlow, Metaflow,
or Sagemaker - Hands-on experience building and maintaining CICD pipelines
- Experience with managing Kubernetes and Kubernetes ecosystem
- Knowledge of Terraform and/or terragrunt for Infrastructure as Code
Please email info@protopia.com to apply.