This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the Americas.As a Senior Machine Learning Engineer, you will play a critical role in building scalable and efficient ML solutions that support risk assessment and fraud detection for high-volume financial transactions. You'll collaborate closely with Data Scientists, MLOps, and DataOps teams to implement production-grade models, optimize feature engineering, and monitor system performance. This position offers the opportunity to influence end-to-end machine learning workflows, contribute to real-time and batch processing architectures, and explore innovative approaches to emerging financial risks. You will thrive in a fast-paced, remote-first environment that values technical excellence, continuous learning, and cross-functional collaboration.AccountabilitiesDesign, implement, and optimize machine learning models for production, supporting real-time and batch workflowsEngineer domain-specific features to enhance model robustness and predictive accuracyDevelop scalable pipelines for deploying, monitoring, and retraining ML models in productionBuild architectures optimized for latency, throughput, and resource efficiency, adhering to reliability and security standardsMonitor model endpoints, pipeline performance, and key business metrics; implement recalibration and retraining as neededCollaborate with fraud analysts, risk managers, and product teams to translate business requirements into ML solutionsConduct research and prototypes to explore innovative ML approaches for emerging risk and fraud patternsRequirementsBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical fieldsStrong experience in ML engineering and data science implementationProficiency in Python, Scala, or JavaHands-on experience with batch and real-time streaming pipelines using SQL and NoSQL databasesFamiliarity with monitoring tools for pipelines, streaming systems, and model performanceExperience with AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.)Knowledge of CI/CD pipelines, infrastructure-as-code tools (Terraform, CloudFormation), and MLOps platforms such as MLflowExpertise in machine learning modeling, especially tree-based and boosting algorithms for imbalanced targetsExperience with online inference systems, APIs, and latency-sensitive servicesStrong proficiency in EnglishPreferred/Plus:ML applications in financial decision-making (credit risk, fraud prevention)AWS Sagemaker or similar DS/ML workbench experienceContainerization and orchestration (Docker, Kubernetes)Feature store development and integrationDistributed data systems (Kafka, Spark, Hadoop) and workflow orchestration tools (e.g., Airflow)BenefitsComprehensive health and dental coverage for you and your dependents, no co-paymentLife insurance with extended coverage optionsMeal and supermarket vouchers, home office allowance, and team allowanceAccess to Wellhub for physical and online fitness activitiesTrustly Club discounts at partner institutions and storesEnglish language online program with a private teacherExtended maternity and paternity leave, plus birthday offFlexible hours and fully remote work across BrazilApple equipment (MacBook Pro, iPhone) and welcome kitAnnual performance-based bonusEmployee referral program with rewards(Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!

Product Designer (Remote - Latam)

By Jobgether in Oct 04, 2025

Field

Product Designer (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Product Designer in Latin America.As a Product Designer, you'll play a key role in shaping impactful digital experiences for enterprise clients, transforming complex challenges into intuitive and elegant solutions. Working as a consultant embedded within client teams, you'll collaborate closely with product managers, developers, and stakeholders to deliver end-to-end design solutions—from research and strategy to prototyping and testing. This role combines creativity, user empathy, and strategic thinking, offering an opportunity to influence real business outcomes while maintaining full autonomy in a 100% remote work environment.AccountabilitiesLead the full product design lifecycle, including research, strategy, user experience, and interface designTranslate business objectives and user insights into actionable design concepts and prototypesBuild and maintain design systems that ensure consistency and scalability across productsConduct user interviews and usability tests to validate design decisions and improve solutions iterativelyCollaborate closely with cross-functional client teams, including developers and product owners, to ensure design feasibility and alignmentCommunicate design ideas clearly through presentations, documentation, and collaborative workshopsManage priorities and timelines independently while ensuring high-quality deliverablesRequirementsAt least 5 years of professional experience in product design, ideally within consulting or agency environmentsProven portfolio demonstrating strong problem-solving skills and measurable impact on enterprise-level projectsAdvanced proficiency with Figma and versatility across other design toolsExcellent written and verbal communication skills in EnglishStrong understanding of product strategy, UX research, interaction design, and visual design principlesExperience working with remote, cross-functional teams and English-speaking clientsBased in Latin America (or nearby region) with at least 6 hours of overlap with US Central TimeSelf-motivated and organized, with the ability to work independently and manage multiple prioritiesBenefitsFully remote position with flexible working hoursCompetitive hourly compensation on a per-project basis, with potential for long-term collaborationWork with a talented, supportive, and highly collaborative international teamOpportunities for professional development and participation in innovative client projectsInclusive, diverse, and respectful company culture valuing creativity and continuous learningOccasional travel opportunities for collaboration, if neededJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job's core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!

Machine Learning Engineer

By Mindbody in Oct 04, 2025

Field

Machine Learning Engineer

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.The Role You’ll PlayDevelop and deploy production-ready machine learning models across a wide range of applications. Monitor and maintain the performance of models in production environments. Engineer and integrate data from multiple sources to fuel training pipelines, predictions, and business insights. Collaborate with Product Managers to ensure solutions align with customer impact and business goals. Write clean, testable, and scalable code while contributing to shared design documents and engineering discussions. Conduct peer reviews to uphold engineering quality and share knowledge across the team. Stay current with emerging technologies in ML, data engineering, and AI. Experience You Bring2+ years of hands-on experience building and deploying machine learning models in production. Proficiency in Python and SQL, with a strong understanding of data manipulation and model pipelines. Excellent communication skills, both written and verbal, with the ability to explain technical work in a clear and thoughtful way. Intellectual curiosity and a bias for action—you’re excited to explore, experiment, and iterate. Strong business intuition and the ability to balance technical rigor with customer outcomes. A results-driven mindset—you care more about solving the problem than using the flashiest method. A proactive approach to identifying and solving complex challenges—both independently and in collaboration. Have we piqued your curiosity?Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Playlist, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).Note: This description outlines key responsibilities but isn’t intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.