$50K - 80K a year
Deploy, manage, and optimize ML models and pipelines on AWS, implement CI/CD, collaborate with teams, and lead model development.
3+ years deploying and scaling ML models on AWS with proficiency in Python ML frameworks and AWS services.
Theseus Group specializes in automating and enhancing business processes through cutting-edge software, AI, and automation solutions. Our mission is to deliver faster progress with fewer human dependencies, enabling businesses in the United States and Africa to streamline operations and solve complex problems at scale. • FYI THIS IS NOT A CASUAL JOB We work on weekends We pay per task, not per hour You will be required to use AI, automation, and software to speed up your work. If you take long randomly, you will get paid for the hours the task should've taken with the 3 mentioned This job is for those who want mastery and autonomy in work, not money. Your pay will likely be lower than you could get where people are paying less attention Key Responsibilities Deploy and manage ML models (AWS, APIs). Build/optimize ML pipelines (preprocessing, training, evaluation). Implement CI/CD for models, ensuring robust testing. Collaborate with cross-functional teams. Eventually lead in-house model development and fine-tuning. Required Skills 3+ years deploying/scaling ML models (AWS). Proficiency in Python (TensorFlow, PyTorch, Scikit-learn). Familiarity with AWS services (SageMaker, Lambda, ECS, RDS, S3). Experience with data preprocessing, feature engineering, hyperparameter tuning. Preferred Skills MLOps for post-deployment monitoring. Distributed systems knowledge. Advanced ML techniques (transformers, GPT). Infrastructure as code (AWS CDK, CloudFormation).
This job posting was last updated on 9/23/2025