Junior Solutions Architect - MLOps & Real-Time Data Integration

Remote – US based candidates only, no visa sponsorship available.

About the role

This role leads work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.

Responsibilities

• Design and implement scalable real-time data integration solutions
• Create streaming data architectures for enterprise systems and cloud platforms
• Develop data pipelines to support machine learning and AI applications
• Build proofs-of-concept and reference architectures for enterprise use
• Collaborate to resolve technical challenges and improve architecture designs
• Participate in architecture reviews and production readiness assessments
• Document technical processes and best practices

Requirements

• 1-3 years of experience in data science, machine learning, or cloud engineering roles
• Strong foundation in data science concepts and machine learning lifecycle
• Understanding of MLOps practices for model deployment and monitoring
• Familiarity with cloud data platforms like AWS, Azure, or GCP
• Experience programming in Python or Java, and working with REST APIs
• Knowledge of both relational and NoSQL databases, SQL proficiency required
• Bachelor's or Master's degree in a relevant technical field

Benefits

• Competitive salary and stock options in a pre-IPO environment
• Comprehensive health care plans including FSA options
• Paid Time Off for vacations, sick days, and public holidays
• Opportunity to influence and shape a positive workplace culture

Pay

$120,000 – $130,000 annually