As a Sr. MLOps Engineer, you will be a part of the MLOPS team responsible for ensuring guardrails and implementing code for complex business problems leveraging machine learning models and generative AI. Your expertise will be used to develop streamlined deployment patterns, implementing best practices for version control, scalability, and model performance. Proficiency in cloud platforms, containerization, and CI/CD pipelines is required along with a broad aptitude for application lifecycles and network/infrastructure design patterns. Responsibilities include researching and implementing ML algorithms and tools, establishing scalable cloud components for predictive model transactions, collaborating with Designers, Architects, Software Engineers, Data Scientists and Data Engineers, designing and managing CI/CD pipelines, transitioning data science ML prototypes into production-grade solutions, building and maintaining APIs for machine learning models, enforcing best practices for version control, integrating data from internal and external sources with data pipelines, implementing monitoring systems for model and API performance, automating repetitive tasks such as model deployment and scalability, and documenting system designs and workflows. Qualifications include experience in machine learning engineering or related roles, familiarity with cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), strong problem-solving and communication skills, experience with Agile/Scrum, CI/CD pipelines, full ML lifecycle, API development, Git, Powershell, Bash, cloud infrastructure knowledge, infrastructure as code tools (Terraform & Helm), and a Bachelor’s degree in computer science, engineering, mathematics, or related field. The position is open for candidates in Mahwah, NJ or Atlanta, GA.
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