Javen Technologies
Machine Learning Engineer
Javen Technologies, Cincinnati, Ohio, United States, 45202
Title: Machine Learning Engineer IV
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Location: 38 Fountain Square Plaza, Cincinnati, OH 45202
Duration: 12 Months contract
Must Have: Amazon SageMaker, CI/CD, Dev Op tools like Jira, Terraform, GitHub, Docker, Experience in a highly regulated industry such as Banking/Financial/Healthcare, Python, SQL, Terraform
Nice To Have: DBT, Java, Snowflake
JOB DESCRIPTION
Join our Data Science Enablement squad as a Senior Machine Learning Engineer. 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).
Key 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.
Qualifications:
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).
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
Location: 38 Fountain Square Plaza, Cincinnati, OH 45202
Duration: 12 Months contract
Must Have: Amazon SageMaker, CI/CD, Dev Op tools like Jira, Terraform, GitHub, Docker, Experience in a highly regulated industry such as Banking/Financial/Healthcare, Python, SQL, Terraform
Nice To Have: DBT, Java, Snowflake
JOB DESCRIPTION
Join our Data Science Enablement squad as a Senior Machine Learning Engineer. 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).
Key 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.
Qualifications:
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).