Solutions Architect - (Machine Learning)

OverviewDesign, deploy, and scale machine learning systems that power modern data platforms.This Jobot Job is hosted by: Robert Donohue. Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary: $150,000 - $190,000 per yearAbout usWe're a remote-first, global leader in the modern data stack, partnering with some of the most influential cloud and data platforms in the world to help enterprises solve complex data and machine learning challenges. Our teams work at the intersection of data engineering, analytics, and machine learning—designing and delivering real-world solutions that move beyond experimentation into production.With team members across the U.S., Latin America, and India, we foster a culture built on technical curiosity, ownership, trust, and collaboration. Even as we scale rapidly, we've maintained a flexible, high-energy environment where top talent is empowered to do their best work.Why join usCompetitive Compensation: $140,000 – $190,000+ base salary (depending on experience)Remote-First: Work from anywhere in the US with occasional customer-site travel nationwideMassive Growth: Be part of a company growing 40% YOY, creating career advancement opportunitiesCutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and moreAward-Winning Culture: Collaborative, inclusive, and committed to professional developmentLearning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovationTime Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perksJob DetailsMachine Learning Solutions Architect (Remote – U.S.)This role sits at the core of turning machine learning ideas into production-ready solutions. You'll design, build, deploy, and operate scalable ML systems—partnering closely with data scientists, engineers, and client stakeholders to ensure models deliver real business value.What You'll DoDesign and implement end-to-end machine learning solutions, including inference, retraining, monitoring, and lifecycle managementArchitect and build environments that enable data scientists to develop and deploy models efficientlyDefine deployment strategies and infrastructure to ensure models operate reliably in productionWork directly within customer systems to extract, transform, and prepare data for analytics and ML use casesPartner with data scientists to convert experimental models into scalable, maintainable solutionsDesign operational testing strategies and oversee QA, validation, deployment, and ongoing optimizationProvide technical thought leadership across application, data, and infrastructure layersWhat We're Looking For6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data EngineerHands-on experience deploying ML models into production environmentsStrong programming skills in Python, Scala, Java, or similar languagesExperience building and operating robust data pipelines and distributed systemsSolid SQL expertise with experience optimizing complex queriesFamiliarity with modern data platforms such as Spark, Snowflake, Databricks, or similarWorking knowledge of cloud platforms (AWS, Azure, or GCP) and production data ecosystemsExperience developing APIs and backend services (e.g., Flask, Django, Spring)Excellent communication skills and comfort working with both technical and business stakeholdersNice to HaveAdvanced degree in data science or a related fieldExperience with ML frameworks (TensorFlow, Keras, scikit-learn, etc.)Docker and Kubernetes experienceExposure to AWS SageMaker, Azure ML, MLflow, or enterprise ML platformsOpen-source contributions or relevant side projectsInterested in hearing more? Easy Apply now by clicking the "Easy Apply" button.Want to learn more about this role and Jobot?Click our Jobot logo and follow our LinkedIn page!J-18808-Ljbffr