What are the responsibilities and job description for the Machine Learning Engineer position at Career Movement?
Our client is a MIT-backed startup building next-generation machine learning infrastructure. Early, technical founding team focused on developing scalable, production-ready ML systems.
Responsibilities:
- Architect and build end-to-end machine learning models and supporting infrastructure
- Develop, test, and deploy models using Python, TensorFlow, and PyTorch
- Design ML pipelines, data workflows, and scalable AWS-based environments
- Own experimentation, evaluation, and optimization of models
- Collaborate directly with founders to shape product direction and ML strategy
Requirements:
- Strong experience building ML models and architectures independently
- Deep understanding of machine learning fundamentals, algorithms, and data modeling
- Advanced Python proficiency and hands-on experience with TensorFlow/PyTorch
- Experience with AWS cloud services for ML deployment
- Ability to build production-grade ML systems with minimal oversight