Company Name: phData

Job Details: Hiring,Remotely,in,US,Remote,Senior,level

Job Url: https://builtin.com/job/machine-learning-solutions-architect/6855722

Job Description: Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges.  phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)Fivetran, dbt, Atlation, Matillion Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as an award-winning workplace in US, India and LATAM Machine Learning Solutions Architect - USMachine Learning Engineers are the Swiss army knives of machine learning. They’re ready for anything, and they bring all the tools to ensure that data science models see the light of day. They own the infrastructure and deployment plan—from making sure data science models can actually be built using customer data to deploying them into a production environment, and everything in between.  They provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure.  Machine Learning Engineers have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration.As a Solutions Architect on our Machine Learning Engineering team, you are responsible for: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.What you’ll do in this role:Design 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 productThis job might be for you if you bring...At 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, 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, & 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 customersYou might also have...A 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, etc. Experience with Docker, Kubernetes, or some other containerization technologyAWS Sagemaker (or Azure ML) and MLflow experienceExperience building enterprise ML modelsWhy phData? We offer:Remote-First Work Environment Casual, 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 certificationsphData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.