Overview
Remote
On Site
USD 119,400.84 - 199,001.40 per year
Full Time
Skills
SAP BASIS
Accessibility
IaaS
Scalability
Performance Tuning
Regulatory Compliance
Data Science
Continuous Integration
Continuous Delivery
Collaboration
Innovation
Operational Excellence
Cost Management
Computer Science
Data Engineering
Information Systems
Management
Microsoft Azure
Google Cloud
Google Cloud Platform
Python
SQL
Scripting
Terraform
Bash
Workflow
Orchestration
Apache Airflow
Cloud Security
Mentorship
Amazon Web Services
Databricks
Snow Flake Schema
Kubernetes
Docker
Artificial Intelligence
Machine Learning (ML)
Real-time
Streaming
Apache Kafka
Amazon Kinesis
Cloud Computing
Optimization
Job Details
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:
Minimum Qualifications Required:
Nice to Have (Preferred Qualifications):
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
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, Google Cloud Platform).
- 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.