Role Description Construa a infraestrutura de IA que impulsiona uma nova geração de produtos financeiros. A Akropoli é a plataforma de inteligência financeira da Rock Encantech. Criamos uma geração de soluções financeiras baseadas na combinação de dados de consumo do varejo e dados financeiros provenientes do Open Finance. Isso nos permite desenvolver modelos avançados de crédito, comportamento financeiro e recomendação de produtos, aplicados diretamente em produtos utilizados por grandes empresas do varejo e serviços financeiros. Para escalar essa visão, estamos buscando um Senior MLOps Engineer para estruturar e operar a infraestrutura que coloca nossos modelos de Machine Learning em produção. O problema que estamos resolvendo: - Transformar grandes volumes de dados financeiros e de consumo em modelos de inteligência artificial confiáveis, escaláveis e operando em produção. Nosso desafio é construir pipelines que garantam: - Reprodutibilidade de modelos - Governança de dados - Escalabilidade de treinamento - Monitoramento de modelos em produção - Re-treinamento contínuo baseado em novos dados e comportamento dos usuários O que você fará: - Construir pipelines de treinamento e deploy de modelos de ML - Estruturar workflows de CI/CD para machine learning - Garantir monitoramento e observabilidade de modelos - Implementar estratégias de versionamento de modelos e datasets - Trabalhar com cientistas de dados na industrialização de modelos - Evoluir a arquitetura de dados e ML da plataforma - Desenhar e implementar pipelines de Continuous ML (treinamento, validação e re-treinamento automatizado de modelos) - Implementar mecanismos de detecção de data drift e model drift com gatilhos para re-treinamento Qualifications - Experiência sólida com MLOps ou ML em produção - Forte experiência com AWS - Experiência com pipelines de dados e ML - Experiência com Docker e ambientes cloud - Mentalidade de engenharia orientada a escala Benefits - Trabalhar com dados reais de consumo e comportamento financeiro - Resolver problemas complexos de IA aplicada a finanças - Construir produtos utilizados por grandes empresas do varejo - Participar de uma plataforma em rápido crescimento no ecossistema da Rock Encantech

• Проєктування, розробка та підтримка ефективних і надійних ETL пайплайнів • Розробка та покращення моделей ранжування, побудова рекомендаційних систем та вирішення інших ML/DS задач • Розгортання моделей, написання продакшн-коду, підтримка мікросервісів та моніторинг їх роботи • Тісна співпраця з командою DevOps, щоб інтегрувати MLOps CI/CD у продукт • Дизайн та проведення A/B тестів для перевірки гіпотез, аналіз результатів та пошук інсайтів у даних • Проактивний пошук точок росту продукту спільно з бізнес-стейкхолдерами

Role Description Für alle, die nicht nur mitlaufen, sondern den Takt angeben. AImera Group ist eine technologiegetriebene IT-Boutique für Machine Learning, Data Products und skalierbare Software. Wir liefern maßgeschneiderte Lösungen direkt bei unseren Kunden - schnell, pragmatisch und mit echtem Business-Impact. Du willst nicht nur Code schreiben, sondern Projekte vorantreiben, Kunden überzeugen und Verantwortung übernehmen? Dann bist du bei uns genau richtig. Aufgaben - Sehr gute Python-Kenntnisse und Erfahrung mit gängigen ML-Frameworks (z. B. PyTorch, TensorFlow) - Starkes Verständnis für Daten, Modelle, Deployment und produktionsreife ML-Systeme - Erfahrung mit Pipelines, Git, Docker und modernen Entwicklungsprozesse - Sicheres Auftreten beim Kunden: Du kannst komplexe Dinge einfach erklären und Vertrauen aufbauen - Kommunikativ, überzeugend und lösungsorientiert - du kannst dich und deine Arbeit beim Kunden „verkaufen” - Struktur, Ownership, Drive - du arbeitest selbstständig, schnell und verlässlich Nice to have: - Cloud- & MLOps-Erfahrung - Erfahrung mit nicht-technischen Stakeholdern - Interesse an Deep Learning, Active Learning oder generativen Modellen - Ein gutes Gespür für Business-Relevanz und pragmatische Entscheidungen Qualifications - Mindestens 7 Jahre einschlägige Berufserfahrung im Bereich Machine Learning, Data Engineering oder Softwareentwicklung - Sehr gute Deutschkenntnisse auf C2-Niveau (schriftlich und mündlich) Benefits - Projekte mit echtem Impact - Top-Vergütung - transparent, fair und leistungsorientiert - Ein Team, das dich pusht - nicht bremst Company Description Let’s build.

Opportunity Overview: We are looking for a Machine Learning Engineer ll to join our team! Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources. In this role, you’ll join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that help automate burdensome administrative clinical practices. You will be tasked with finding the most promising opportunities for impact and then delivering on them. This is a unique opportunity to join a high caliber engineering team that is growing quickly. You will build impactful healthcare technology on a modern tech stack. What you’ll do: - Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models. - Build reliable and scalable production machine learning systems - Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time. - Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts. What you’ll need: - You have 2-4 years full time professional experience in Machine Learning - You have an MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field - You have hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs - You understand scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results - You have experience configuring, training, evaluating, deploying, and maintaining models in a production setting - Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flexible Time Off + Company Holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $119,000 - $140,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Behavioral Interview(s) - Live Coding - Case Study *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote