Staff Machine Learning Engineer

8+ years of professional software engineering experience 5+ years of hands-on experience in machine learning engineering or applied AI Proficiency in Python, TensorFlow/PyTorch, and scikit-learn Hands-on experience with data analysis, feature engineering, and model development on large, complex datasets Strong background in MLOps and data infrastructure (e.g., Airflow, Spark, feature stores, MLflow, data versioning) Proven ability to deploy and maintain ML models in production with CI/CD, monitoring, and alerting Familiarity with cloud ML environments (AWS, GCP, or Azure) and containerization (Kubernetes, Docker) Experience building or fine-tuning LLMs or generative models Experience with retrieval-augmented pipelines or feedback-driven model retraining Experience working with structured business or healthcare data is a plus

Design, build, and operate scalable ML pipelines Own the end-to-end ML lifecycle Continuously monitor model performance and implement automated retraining Leverage advanced ML techniques Conduct in-depth data analysis and experimentation Collaborate cross-functionally with engineering, product, and data teams Establish best practices for model governance, reproducibility, explainability, and observability Lead and mentor engineers in applied ML methods, system design, and data-driven experimentation