Machine Learning Solutions Architect

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
• Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
• Additional Responsibilities
• Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine practice standards, reusable assets, and delivery frameworks.
• About You
• Req

Benefits

Additional Information

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, and AWS Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) 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.

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