Junior AI/ML Engineer

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML solutions under the guidance of senior engineers. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.

Engineers at this level focus on well-defined implementation tasks within a larger solution, learning the full lifecycle - design, development, validation, and production handoff - through pairing, code review, and structured mentoring. AI & ML Development: * Implement ML models and components against established designs, using structured, time-series, and unstructured data * Run and document model validation, evaluation, and error analysis under senior guidance * Build familiarity with the team’s AI/ML techniques and how they are applied to engineering, quality, and product use cases

Software & Systems Engineering: * Contribute production-quality code to AI systems, including: * Data pipelines and feature engineering * Model training and inference services * Components of agentic solutions combining LLM and other systems * Write clean, maintainable, and testable code (primarily Python), responding constructively to code review * Use the team’s shared AI/ML components and engineering frameworks

Delivery & Execution: * Deliver well-scoped implementation tasks reliably, escalating blockers early * Participate in requirement clarification and solution iteration with the team * Support preparation of solutions for operationalization in partnership with MLOps teams

• Bachelor’s degree in engineering, computer science, applied mathematics, or a related field
• A minimum of 1 year of experience * Solid software engineering fundamentals * Exposure to machine learning through coursework, internships, or projects * Proficiency in Python; familiarity with common ML libraries * Willingness to work across data, modeling, and software concerns

Preferred Qualifications: * Internship or project experience deploying ML in real systems * Exposure to cloud-based data or ML platforms * Interest in LLM-based and agentic solutions * Familiarity with software delivery practices (version control, CI, testing)