[Remote] Machine Learning Solutions Architect

Note: The job is a remote job and is open to candidates in USA. phData is a dynamic leader in the modern data stack, partnering with major cloud data platforms to deliver innovative solutions. The Machine Learning Solutions Architect will design and implement data solutions, provide thought leadership, and ensure the successful deployment of machine learning models in production environments.ResponsibilitiesDesigning and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stackProviding thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integrationDesign and create environments for data scientists to build models and manipulate dataWork within customer systems to extract data and place it within an analytical environmentLearn and understand customer technology environments and systemsDefine the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we developDemonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insightsReveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning modelsPartner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycleCreate operational testing strategies, validate and test the model in QA, and implementation, testing, and deploymentEnsure the quality of the delivered productSkillsAt least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer4-year Bachelor's degree in Computer Science or a related fieldExperience deploying machine learning models in a production settingExpertise in Python, Scala, Java, or another modern programming languageThe ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsetsStrong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queriesHands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etcFamiliarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)Development of APIs and web server applications (e.g. Flask, Django, Spring)Complete software development lifecycle experience, including design, documentation, implementation, testing, and deploymentExcellent communication and presentation skills; previous experience working with internal or external customersA Master's or other advanced degree in data science or a related fieldHands-on experience with one or more ecosystem technologies (e.g., Spark, Databricks, Snowflake, AWS/Azure/GCP)Relevant side projects (e.g. contributions to an open source technology stack)Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etcExperience with Docker, Kubernetes, or some other containerization technologyAWS Sagemaker (or Azure ML) and MLflow experienceExperience building enterprise ML modelsBenefitsRemote-First Work EnvironmentCasual, award-winning small-business work environmentCollaborative culture that prizes autonomy, creativity, and transparencyCompetitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)Accelerated learning and professional development through advanced training and certificationsCompany OverviewphData Premier provider of Big Data managed services and architecture, engineering, and data science consulting. It was founded in 2014, and is headquartered in Minneapolis, Minnesota, USA, with a workforce of 501-1000 employees. Its website is https://www.phdata.io/.Company H1B SponsorshipphData has a track record of offering H1B sponsorships, with 2 in 2026, 10 in 2025, 13 in 2024, 4 in 2023, 16 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.