Data Architect: I (Junior)

We are searching for a Data Architect: I (Junior) to join our team in Columbus, Ohio. This role will provide an opportunity to work in a dynamic and innovative environment, focusing on the design and implementation of MLOps solutions. The selected individual will collaborate closely with data scientists, product owners, and engineers to deliver data-driven solutions that enhance business outcomes.

Responsibilities:

• Collaborate with data scientists and product owners to design MLOps solutions that translate business requirements into technical specifications and architectures.
• Partner with MLOps engineers to ensure the solutions designed are efficiently implemented and aligned with best practices.
• Act as a liaison between business users, product owners, and MLOps engineers to ensure seamless communication and alignment on project goals.
• Utilize both proprietary and open-source MLOps tools to build flexible and scalable machine learning pipelines.
• Lead the end-to-end productionization process, working from model training to deployment and monitoring in real-time or batch systems.
• Design and maintain robust CI/CD pipelines for model deployment using various tools, ensuring smooth collaboration with development teams.
• Design APIs for batch and real-time model inference, ensuring reliability and scalability in production.
• Identify and implement relevant open-source tools to enhance the team’s MLOps platform, ensuring long-term flexibility and efficiency.
• Continuously update with the latest developments in MLOps, integrating new open-source tools to optimize workflows.
• Encourage continuous learning and experimentation within the team to foster innovation in MLOps practices. • Bachelor's degree in Computer Science, Information Systems, or a related field
• Proficiency in SQL and Python programming languages
• Experience with cloud technologies such as AWS
• Familiarity with Linux operating system
• Understanding of data engineering and best practices
• Knowledge of Scrum or other agile development methodologies
• Proven ability in designing, production, and deployment of database architectures
• Experience with data integration and monitoring tools
• Understanding of business requirement documents and ability to translate them into technical specifications
• Proven ability to collaborate effectively with various stakeholders
• Strong communication skills and ability to provide training where necessary
• Knowledge of automation practices and optimization techniques
• Familiarity with various data architecture frameworks
• Demonstrated innovation in previous roles
• Experience with R code is a plus.