Machine Learning Engineer

• Develop and implement a secure, automated deployment pipeline.
• Educate and mentor team members on MLOps practices.
• Balance engineering tasks with change management and training.
• Enhance MLOps capabilities with advanced tools and techniques., * Future (2025 & Beyond) - Utilize AWS Sagemaker to expand Feature Store, introduce Model Registry, CI/CD, Real-Time models for our large data science credit models.
• The squad is currently working on an in-house build of Feature Store to help speed up modeling process for our Data Science department. Combination of Snowflake, Cloud Pak for Data. (More on this later)
• Currently, data scientist build model features (attributes) about customers in their own Jupyter notebook that feed into their models and never reuseable for others… aka reason for Feature Store
• They are also working on building real time scoring framework for our loan/card application process. Right now it’s batch and can be almost 31 days behind.
• Technology used: Docker, Kafka, Snowflake, Feature Store

• Experience in highly regulated industries like banking, finance, or healthcare., * Experience:
• Minimum of 3-5+ years of experience in machine learning and MLOps.
• Proven experience with AWS Sagemaker and building end-to-end machine learning models.
• Experience with data integration and management using IBM DB2 and Snowflake (or like databases)
• Strong understanding of CI/CD pipelines and automation tools.
• Technical Skills:
• Proficiency in programming languages such as Python, R, SQL and/or Java.
• Use of Fifth Third standard DevOps tools such as Jira, Terraform, GitHub, Jenkins
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• You’ll be eligible to earn referral bonuses!

Full Time

2147483647

Engineering

Smart Data

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.