Job Description A local client to Columbus, Ohio is in search for an MLOps Engineer. As an MLOps Engineer, you will be responsible for the end-to-end productionization and deployment of machine learning models at scale. You will work closely with data scientists to refine models and ensure they are optimized for production. Additionally, you will be responsible for maintaining and improving our MLOps infrastructure, automating deployment pipelines, and ensuring compliance with IT and security standards. You will play a critical role in image management, vulnerability remediation, and the deployment of ML models using modern infrastructure-as-code practices. API Experience: The MLOps Engineer will be responsible for developing and maintaining APIs and data pipelines that facilitate the seamless integration of machine learning model outputs into our Kafka-based event hub platform. This role requires a strong background in Python, API development (batch and real-time), Kafka, FTP/SFTP automation, and familiarity with Linux operating systems. You will work closely with data scientists to understand and finalize the schema of model outputs, document schemas using Swagger, collaborate with event hub architects, and ensure that data is accurately and reliably published, whether through Kafka APIs, automated FTP processes, or custom-developed APIs for real-time integration. Pay Rate for this position is between $40-$45 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements 4 years of experience in combination of MLOps/DevOps/Data Engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline.  Python: Deep expertise in Python for scripting and automation.  AWS: Strong experience with AWS services, particularly SageMaker, S3, and Lambda.  Terraform: Proficiency in using Terraform for infrastructure-as-code on AWS.  Docker: Extensive experience with Docker, including building, managing, and securing Docker images.  Linux: Strong command-line skills in Linux, especially for Docker and system management.  DevOps Experience: Azure DevOps (ADO): Significant experience in setting up and managing CI/CD pipelines in ADO  Git: Proficient in using Git for version control and collaboration.  Proven experience in developing and managing both batch and real-time APIs, preferably in a Kafka-based event-driven architecture.  Expertise in API development, including both batch and real-time data processing. Exposure to API documentation tools like Swagger. Strong understanding of schema design and data serialization formats such as JSON. Experience with Jenkins or other CI/CD is a plus  Experience with large language models and productionizing ML models in a cloud environment.  Knowledge of open source MLOps frameworks such as Kubeflow, MLFlow, Airflow or DVC  Familiarity with near real-time inference systems, batch processing and model drift management. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.