Senior iOS Engineer

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related technical field. 5+ years of experience building and deploying machine learning systems in production. Proficient in Java, or Go. Experience using production-grade ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar). Strong understanding of AWS services (SageMaker, Glue, EMR, Lambda, Step Functions). Experience with orchestration tools (Airflow or AWS Step Functions). Deep understanding of MLOps concepts. Solid knowledge of data structures, algorithms, and distributed computing. Strong problem-solving and communication skills.

Design and implement scalable ML pipelines for model training, inference, and evaluation. Build and maintain systems for feature engineering, deployment, and monitoring. Transform research prototypes into production-grade models. Optimize ML systems for performance, scalability, and cost-efficiency. Implement CI/CD and MLOps practices for model versioning, reproducibility, and monitoring. Manage ML workflows and pipeline orchestration. Partner with cross-functional teams for compliant and reliable model delivery. Document systems and processes.