We are looking for a Senior ML Engineer to design, build, and optimize machine learning models and pipelines powering production systems.
Requirements
- 4+ years of hands-on experience in machine learning engineering
- Strong proficiency in Python and core ML frameworks
- Solid experience with deep learning — architecture design, training, hyperparameter tuning, and deployment of neural network models
- Proven experience designing and deploying recommender systems
- Hands-on experience with AWS SageMaker and broader AWS ML ecosystem
- Practical experience setting up data processing and ML workflows on AWS
- Strong MLOps skills
- Solid understanding of the full ML lifecycle
- Hands-on experience with containerization and orchestration in production environments
- Proficiency with SQL and experience working with both structured and unstructured data sources
- Strong problem-solving skills with an emphasis on scalability and performance optimization
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance