ML/AI Engineer (442)

** Info on the ML/AI Engineer Role**

Want to advance in your international career? Join Ubiminds, a people-first company that partners with American software product companies to expand their development capabilities by sourcing top talent from Brazil.

Ubiminds is supporting a rapidly growing technology and data company that specializes in modern products for the health insurance and employee benefits sector. They are in the process of scaling their engineering team and integrating new ML/AI functionalities into their platform.

Role Overview

We are seeking a talented ML/AI Engineer to spearhead the implementation of ML/AI initiatives within the organization. As the first dedicated expert in this area, you will be responsible for shaping the vision, roadmap, and technical execution of intelligent features across multiple products. This role is suited for individuals who thrive in uncertain environments, possess strong technical leadership skills, and enjoy building innovative systems within an established engineering team.

The ideal candidate should be adept at producing high-quality code, promoting collaboration, and following disciplined software practices like TDD, pair programming, and maintaining defined architectural standards. In close partnership with Product, Operations, and other engineering teams, you will identify lucrative AI opportunities and drive them towards successful deployment.

Key Responsibilities

• Lead all ML/AI engineering initiatives as the primary member in this domain.
• Develop and deploy ML/AI-powered features across various products.
• Collaborate closely with Product, Engineering, and Operations teams to capitalize on high-value opportunities and implement them into production systems.
• Manage the complete lifecycle of ML solutions, from initial problem framing to continuous enhancement.
• Establish best practices, tools, and standards for ML/AI development and observability.
• Enhance data pipelines and feature stores to support robust ML workloads effectively.
• Contribute to cross-team planning, architecture reviews, and roadmapping activities.
• Mentor fellow engineers on ML/AI principles and support the growth of the ML/AI team as it expands.
• Contribute to maintaining a top-quality codebase through TDD, code reviews, and other structured engineering practices.

Requirements

• Demonstrated experience in developing and deploying ML/AI systems in production environments.
• Proficiency across the entire ML lifecycle, including data preparation, modeling, evaluation, deployment, and monitoring.
• Hands-on expertise in contemporary AI methodologies such as LLMs, retrieval-augmented generation, or traditional ML algorithms.
• 8–10+ years of software or ML engineering experience.
• Proficiency in at least one major ML/AI development language, with Python preferred.
• Ability to collaborate effectively in a diverse engineering environment with a strong emphasis on Ruby.
• Experience in building new systems from scratch in dynamic environments with significant autonomy.
• Exceptional communication skills and a passion for transparent and collaborative work.

Preferred Qualifications

• Experience in designing ML feature stores, retrieval systems, or ML observability frameworks.
• Familiarity with data-intensive APIs, large-scale data pipelines, or high-throughput backend solutions.
• Exposure to infrastructure that supports ML workloads, including orchestration, monitoring, and experiment tracking.
• Previous involvement in mentoring engineers or introducing stakeholders to ML/AI best practices.
• Interest in API-driven products and high engineering standards.

Team & Company Culture

Join a collaborative and experienced engineering team with a culture centered around continuous improvement, strong technical practices, and close collaboration with Product for innovative system design and development. Dominant focus on impactful challenges related to data, APIs, and intelligent system design with a high level of independence, adherence to modern engineering methods, and a commitment to technical excellence.