W3R Consulting | Senior Machine Learning Engineer | cincinnati, oh

3 days ago


cincinnati, United States W3R Consulting Full time

Position: Machine Learning Engineer IV

Duration: 12 Months

Location: Cincinnati, OH (Onsite)


Overview:

Join the Data Science Enablement squad as a Senior Machine Learning Engineer to develop secure, automated deployment pipelines and enhance MLOps capabilities. The role involves engineering, change management, and mentoring team members in MLOps best practices.


Key Responsibilities:

• Build and manage secure, automated ML deployment pipelines.

• Train and mentor team members on MLOps tools and processes.

• Implement advanced MLOps capabilities: MLFlow, A/B testing, real-time endpoints, and Model Risk Management automation.

• Balance technical implementation with change management and training.


Experience:

• 3-5+ years in machine learning and MLOps.

• Proven expertise in AWS SageMaker and end-to-end ML model development.

• Familiarity with data integration using IBM DB2, Snowflake, or similar.

• Strong CI/CD pipeline and DevOps tools experience.


Must Have Technical Skills:

• Amazon SageMaker

• CI/CD

• Dev Op tools like Jira, Terraform, GitHub, or Jenkins

• Docker

• Experience in a highly regulated industry such as Banking/Financial/Healthcare

• GitHub

• Python

• SQL

• Terraform


Nice To Have: DBT, Java, Snowflake

Technical Skills:

• Proficient in Python, SQL, R, and/or Java.

• Hands-on with Jira, Terraform, GitHub, Jenkins.

• Skilled in Docker, Kubernetes, and other containerization tools.


Preferred Experience: Background in highly regulated industries (Banking, Finance, or Healthcare).


Squad Goals:

• Expand Feature Store and introduce Model Registry using AWS SageMaker by 2025.

• Transition from batch to real-time scoring for loan/card applications.

• Build reusable customer model features for improved Data Science workflows.



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