[Remote] ML/AI Engineer (432)

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 Apply tot his job