Data Architect: I (Junior) - Judge Group

Job Title: MLOps Engineer with API experience

Location: Columbus, OH/ Minneapolis, MN  (3 days onsite, 2 days remote)

Type: 3+ Months Contract to hire

Contract only W2

Job Summary:

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.

Required Skills & Qualifications:
- Python: Deep expertise in Python for scripting and automation.
- AWS: Strong experience with AWS services, particularly Sage Maker, 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.
- Additional DevOps Tools: Experience with Jenkins or other CI/CD tools is a plus.
- Experience & Education: 4 years of experience in combination of MLOps/DevOps/Data Engineering; bachelor’s degree in computer science, Engineering, or a related discipline.

Preferred Qualifications:
- Experience with large language models and productionizing ML models in a cloud environment.
- Exposure to near real-time inference systems and batch processing in ML.
- Familiarity with data drift and model drift management.

TECHNICAL SKILLS
Must Have
• API
• AWS
• Docker
• Git
• Python
• SQL
• Swagger
• Terraform

Nice To Have
• AWS Certified Machine Learning Specialty
• Machine Learning