Sr. Staff AI/Machine Learning Engineer

Master's or Ph.D. in Computer Science, Engineering, Statistics, or related technical field. 6+ years of experience in machine learning, including 3+ years in senior or staff-level roles. Expert proficiency in Python and experience with TensorFlow, PyTorch, scikit-learn. Extensive experience with cloud platforms (AWS, GCP, Azure). Experience with ML infrastructure tools (SageMaker, Vertex AI, MLflow). Experience with distributed computing (Spark, Kubernetes). Experience with data workflow tools (Pandas, Airflow). Proven track record of designing, building, and deploying end-to-end ML systems at scale in production. Strong background in performance optimization, version control, CI/CD, and ML model lifecycle management. Excellent analytical and problem-solving skills, with proven ability to collaborate across cross-functional teams.

Lead design, development, and deployment of scalable machine learning models for fintech applications. Collaborate with teams to translate business challenges into ML solutions. Build, maintain, and optimize robust ML systems for production environments. Monitor and enhance model performance through experimentation. Utilize distributed computing frameworks and cloud-native platforms for ML pipelines and MLOps. Evaluate and implement state-of-the-art AI/ML tools and methodologies. Champion responsible AI practices, focusing on explainability, fairness, and bias mitigation. Stay current with emerging trends in AI, ML, and software engineering.