[Remote] Machine Learning Solutions Architect

Note: The job is a remote job and is open to candidates in USA. phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms to deliver cutting-edge services and solutions. As a Machine Learning Solutions Architect, you will design and implement data solutions tailored to customer needs, ensuring the deployment and operational success of machine learning models. Responsibilities • Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack. • Providing 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 integration. • Design and create environments for data scientists to build models and manipulate data • Work within customer systems to extract data and place it within an analytical environment • Learn and understand customer technology environments and systems • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop • Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights • Reveal 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 models • Partner 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 cycle • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment • Ensure the quality of the delivered product Skills • At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer • 4-year Bachelor's degree in Computer Science or a related field • Experience deploying machine learning models in a production setting • Expertise in Python, Scala, Java, or another modern programming language • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc. • Familiarity 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, & bolthires EMR) • Development of APIs and web server applications (e.g. Flask, Django, Spring) • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment • Excellent communication and presentation skills; previous experience working with internal or external customers • A Master’s or other advanced degree in data science or a related field • Hands-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, etc. • Experience with Docker, Kubernetes, or some other containerization technology • AWS Sagemaker (or Azure ML) and MLflow experience • Experience building enterprise ML models Benefits • Remote-First Work Environment • Casual, award-winning small-business work environment • Collaborative culture that prizes autonomy, creativity, and transparency • Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks) • Accelerated learning and professional development through advanced training and certifications Company Overview • phData 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 Company H1B Sponsorship • phData has a track record of offering H1B sponsorships, with 9 in 2025, 14 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. Apply tot his job Apply tot his job