_The Bank sponsors individuals for TN and H-1B transfers on a case by case basis._ **_Please note that this position is not open to anyone on a H-1B or F-1 student visa including those eligible for CPT/OPT or the Stem OPT extension._** _This role follows a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for onsite and in person collaboration the other three days._ The Senior Data Science Workbench Analyst builds upon the expertise of Engineer II by leading high-impact automation and cloud optimization projects, ensuring scalability, security, and efficiency in AI/ML workbenches. This role focuses on enhancing data accessibility, integrating advanced AI-driven automation, and mentoring junior engineers. This senior role requires a deep understanding of cloud infrastructure, workflow automation, and AI/ML platform governance. The Senior Engineer is expected to own critical production pipelines, improve CI/CD processes for ML models, and implement best-in-class security frameworks for data science environments. Why This Role Matters: The Senior Data Science Workbench Analyst plays a critical role in enabling enterprise-scale AI/ML innovation by ensuring that data science teams have a secure, scalable, and high-performing infrastructure. By leading automation efforts, optimizing cloud environments, and mentoring the next generation of engineers, this role directly impacts the efficiency and success of AI-driven business strategies. Position Responsibilities: + Lead automation initiatives to improve the scalability and efficiency of AI/ML workflows. + Architect and maintain highly available cloud-based data science environments on platforms like Databricks and Snowflake. + Enhance monitoring and observability for AI/ML infrastructure, ensuring performance optimization and cost efficiency. + Improve and enforce security and compliance measures across data science environments. + Develop and refine CI/CD pipelines to streamline model deployment and management in production. + Collaborate with data scientists and engineers to drive innovation and operational excellence. + Mentor junior engineers by providing guidance on infrastructure best practices, cloud security, and automation. + Optimize cloud cost management strategies to ensure efficient resource utilization. Minimum Qualifications Required: + Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. + 5+ years of experience in cloud-based infrastructure management and AI/ML workbench administration. + Expertise in Databricks, and cloud-based data platforms (AWS, Azure, GCP). + Strong programming skills in Python, SQL, and automation scripting (Terraform, Bash, or similar). + Experience with workflow orchestration tools such as Apache Airflow or Prefect. + Deep understanding of cloud security, IAM roles, and governance best practices. + Proven ability to lead projects and mentor junior engineers. Nice to Have (Preferred Qualifications): + Certifications: AWS Solutions Architect Professional, Databricks Advanced Developer, Snowflake Advanced Architect. + Experience integrating machine learning models into production pipelines. + Proficiency in Kubernetes, Docker, and containerized AI/ML workloads. + Experience working with real-time data streaming technologies such as Kafka or Kinesis. + Strong knowledge of FinOps for cloud cost optimization. M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $119,400.84 - $199,001.40 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. **Location** Bridgeport, Connecticut, United States of America M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.