[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

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