Job Information
Eliassen Group, LLC Senior Machine Learning Engineer in Cincinnati, Ohio
Description: Onsite | Cincinatti, OH Our client, a leader in their industry, is seeking a Senior Machine Learning Engineer. In this role, you will use an existing batch inference model to establish a secure, automated deployment pipeline. This role involves both engineering and change management, including architecture and training, with a focus on educating data scientists and other Data Science Enablement members on MLOps. Once the foundational deployment framework is in place, you will enable additional MLOps capabilities such as MLFlow, A/B testing, real-time endpoints, and further automation with Model Risk Management (MRM). Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80 - $90 / hr. w2 Responsibilities: * 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. * Preferred Experience: * Experience in highly regulated industries like banking, finance, or healthcare. Experience Requirements: * 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. * 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). Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
