Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Aizen, you’ll be instrumental in building and optimizing the AI pipelines that power our end-to-end AI platform. You’ll work across the stack, from data ingestion and model training to real-time inference and monitoring, ensuring seamless AI deployment at scale.

In Short

• Design, build, and optimize end-to-end AI pipelines.
• Implement training and fine-tuning workflows for ML models.
• Develop and integrate scalable backend services and APIs.
• Build monitoring and logging tools for model performance.
• Research and implement cutting-edge ML techniques.
• Collaborate with cross-functional teams.
• Work with cloud platforms like AWS, GCP, or Azure.
• Experience with CI/CD for ML and model serving.
• Knowledge of transformer-based models is a plus.
• Opportunity to tackle complex ML challenges.

Requirements

• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Cloud & MLOps experience.
• Strong problem-solving and collaboration skills.
• Understanding of MLOps & model deployment.
• 1+ years of experience in AI/ML development (entry-level).
• 4+ years of experience in AI/ML engineering (senior-level).
• Technical leadership and mentorship abilities (senior-level).
• Experimental mindset and eagerness to learn.
• Experience with LLMs & NLP is a nice to have.
• Ability to drive architectural decisions.

Benefits

• Competitive compensation and meaningful equity.
• Remote-friendly culture.
• Flexible PTO policy.
• Comprehensive health plans.
• Paid parental leave.
• 401(k) plan for future planning.