Job Opportunities API

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US , India and LATAM We are looking for a Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams, and practice leadership to deliver high-quality solutions and advance phData’s delivery excellence. Key Responsibilities Client Delivery Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries. Translate business and data science requirements into scalable technical and MLOps solutions that align with phData methodologies, standards, and best practices. Ensure engagements are delivered on time, within scope, and with measurable business value for clients. Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data. Work within customer technology ecosystems to extract data from a variety of source systems and place it within analytical and model-training environments. Define deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we develop. Demonstrate and reveal the business value of data by partnering with data scientists to manipulate and transform data into actionable insights and deployable machine learning models. Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment. Ensure the quality, reliability, and observability of delivered solutions through testing, documentation, logging, and monitoring. Collaboration & Leadership Collaborate with cross-functional partners, including data science, data engineering, platform/DevOps, and business stakeholders, to deliver successful client engagements. Provide technical and strategic leadership during workshops, discovery sessions, architecture and design reviews, and project delivery. Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutions. Serve as a technical thought leader for clients, recommending technologies and solution designs for model inference, retraining, monitoring, and lifecycle management from the application layer down to infrastructure. Practice & Firm Contribution Co