Senior Data Engineer (432)

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Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.

Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.

Job Responsibilities:

• Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
• Develop, deploy, and deliver ML/AI-driven functionalities across various products.
• Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
• Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
• Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
• Enhance data pipelines and feature repositories to support robust ML workloads.
• Partake in architecture assessments, roadmap planning, and cross-team coordination.
• Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
• Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.

Required Qualifications:

• Proven experience in building and launching ML/AI systems in production environments.
• Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
• Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
• 8–10+ years of experience in software or ML engineering.
• Proficient in at least one major ML/AI programming language (Python preferred).
• Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
• Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
• Strong communication skills and keenness for transparent, positive collaboration.

Desired Skills:

• Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
• Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
• Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
• Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
• Passion for API-centric products and robust engineering regulations.

Team & Workplace Environment:

• A collaborative, experienced engineering organization.
• Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
• Strong partnership with Product for exploration, prioritization, and architecture design.
• Addressing impactful challenges in data, APIs, and intelligent system design.
• High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.

About Ubiminds:

Our Culture:

• Prioritizing people's needs above all else.
• Cultivating a culture of continual self-improvement.
• Valuing initiative, ownership, and dedication.
• Emphasizing teamwork and collective growth.
• Delivering exceptional services and surpassing expectations.
• Promoting openness, honesty, and transparency at all times.

Perks and Benefits:

• Integrated into a product-focused company with full team support in various areas.
• Possess your own MacBook as part of a remote-first policy.
• Access to tech discussions, events, and an esteemed community of engineers.
• Free English lessons with a native speaker to enhance language skills.
• Referral incentive for recommending new team members.
• Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.

Recruitment Process:

• Initial chat with a Tech Recruiter about the role and your background.
• Completion of a behavior and code assessment as part of the tech evaluation.
• Assessment review by Ubiminds' CS Manager.
• Interview with the Hiring Manager before receiving an offer.
• Completion of a background check throughout the hiring process.