Solutions Architect - (Machine Learning)

Design, deploy, and scale machine learning systems that power modern data platformsThis Jobot Job is hosted by: Robert DonohueAre you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.Salary: $150,000 - $190,000 per yearA bit about us:We'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 us?Competitive 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 Do:Design 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 For:6+ 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 Have:Advanced 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 "Apply" button.Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance formation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

Created: 2026-03-03