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The MLOps Engineer will oversee the deployment of machine learning models into production, ensuring their scalability, maintenance, and integration. Responsibilities include building data pipelines, monitoring model performance, managing model versioning, collaborating with data scientists and engineers, and optimizing infrastructure while ensuring compliance with data protection regulations.
The Sr. Java Developer designs, documents, and writes high-quality code for moderately complex features and projects. They also conduct testing, manage production incidents, reduce technical debt, and collaborate with stakeholders on system designs while improving the performance of existing software.
The Principal Data Scientist will lead the development and implementation of advanced data science models, drive innovation in analytics, and mentor junior team members. Responsibilities include collaborative work with cross-functional teams, conducting data analysis, ensuring model performance, and managing data science projects from inception to completion.
The ML Engineer will conceptualize and implement ML models for dynamic pricing and personalized recommendations, develop large-scale data pipelines, and collaborate with cross-functional teams to deliver impactful solutions. Responsibilities also include creating algorithms for optimizing consumer journeys and conducting controlled experiments to validate effectiveness.
The GCP Data Engineer will work remotely as part of a full-time team, focusing on utilizing GCP technologies like Big Query and Data Flow to manage and optimize data processes.
The role involves collaborating with data scientists and machine learning engineers to build backend systems and APIs for machine learning models, ensuring optimal infrastructure, and maintaining CI/CD pipelines. Candidates should have strong experience in Java or Python and familiarity with microservices and databases.
The DevOps Architect will be responsible for automating and optimizing the deployment and scaling of AI/ML models, implementing CI/CD automation pipelines in the Azure AI environment, and leveraging cloud-based AI/ML platforms.
The Senior Java Architect will lead the architecture design and manage all phases of application lifecycle, from ideation to execution. Responsibilities include developing solutions to meet both business and non-functional requirements, documentation, and conducting proofs of concept.
The Performance Test Engineer will implement performance testing methodologies and drive best practices across initiatives, focusing on scalable solutions. Key responsibilities include developing performance models, automating testing processes, and mentoring other engineers while ensuring optimal performance across the enterprise environment.
The Senior Database Developer will design, develop, and optimize SQL queries, manage EDI transactions, and integrate data with internal systems. Responsibilities include maintaining database structures, ensuring data integrity, troubleshooting EDI-related issues, and generating reports. Strong skills in SQL programming, EDI standards, and data integration processes are essential.
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