Note: The job is a remote job and is open to candidates in USA. Ubiminds is a GPTW-certified, people-first company that partners with American software product companies. They are seeking an ML/AI Engineer to lead their ML/AI engineering initiatives, driving the vision, roadmap, and technical execution of intelligent features across multiple products.
Responsibilities
• Lead all ML/AI engineering efforts as the first dedicated member of this domain
• Design, build, and ship ML/AI-powered features across multiple products
• Partner closely with Product, Engineering, and Operations to identify high-value opportunities and convert them into production systems
• Own the full lifecycle of ML solutions: problem framing, prototyping, modeling, deployment, monitoring, and continuous improvement
• Establish best practices, tooling, and standards for ML/AI development, experimentation, and observability
• Build and improve data pipelines and feature stores to support robust ML workloads
• Collaborate in architecture reviews, roadmapping, and cross-team planning
• Mentor other engineers on ML/AI concepts and help grow the ML/AI team as the practice scales
• Contribute to a high-quality codebase using TDD, code review, and well-structured engineering practices
Skills
• Strong track record of building and launching ML/AI systems in production environments (not only prototypes or research)
• Experience across the entire ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring
• Hands-on experience with modern AI approaches such as LLMs, retrieval-augmented generation, and/or traditional ML algorithms
• 8–10+ years of software or ML engineering experience
• Proficiency in at least one major ML/AI development language (Python preferred)
• Comfortable collaborating in a polyglot engineering environment (team heavily uses Ruby)
• Experience building from 0→1 in ambiguous environments with high autonomy
• Strong communication skills and enthusiasm for transparent, positive collaboration
• Experience designing ML feature stores, embedding retrieval systems, or ML observability frameworks
• Familiarity with data-intensive APIs, large-scale data pipelines, or high-throughput backend systems
• Exposure to infrastructure supporting ML workloads (orchestration, monitoring, experiment tracking)
• Experience mentoring engineers or onboarding stakeholders into ML/AI practices
• Passion for API-driven products and robust engineering standards
Benefits
• Count on our full back-office support: career guidance, HR, and concierge services.
• Enjoy our remote-first policy.
• Get your own MacBook (no BYOD here!).
• Access tech talks, chapter meetings, and a strong community of top engineers.
• Improve your English through free lessons with a native English speaker.
• Earn a referral bonus when recommending new Ubiminders.
• Want office vibes sometimes? Our Florianópolis HQ is open — snacks, massages, drinks, and games included.
Company Overview
• We connect people and companies who shape the world through software. NorthAm + LatAm. Brains + Hearts. It was founded in 2017, and is headquartered in Florianópolis, Santa Catarina, BRA, with a workforce of 51-200 employees. Its website is https://ubiminds.com/.
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