phData
Machine Learning Solutions Architect
US-Remote · Senior
Sponsorship not specifiedDetected 28 days ago
PythonJavaScalaDjangoFlaskCode ReviewSQLMySQLSnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsLinuxDevOpsKafkaMachine LearningTensorFlowscikit-learnSparkdbtData Engineering
About the role
- Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India.
- We're growing fast, and we give our people real ownership over their work.
- About You You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions.
Responsibilities
- Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data.
- Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment.
- 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.
- 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.
- You thrive in an outcomes-driven environment, navigating complex customer ecosystems to design architectures that are performant, secure, scalable, and maintainable.
- Partner with leading organizations on meaningful data & AI initiatives.
- Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
Requirements
- Hands-on experience with one or more big data ecosystem products and languages such as Spark, Snowflake, Databricks, etc.
- Production experience in core data technologies and platforms (e.g., Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR).
- Experience delivering projects for external or internal clients in a professional services or consulting environment.
- Comfort presenting technical solutions to external clients and facilitating discussions with both technical and business stakeholders.
- Demonstrated ability to work effectively with distributed and cross-functional teams, including data scientists, engineers, and business stakeholders.
- Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
Nice to have
- Contributions to open source technology stacks, technical communities, speaking, or writing are a plus.
- A Master's or other advanced degree in data science, computer science, or a related field.
- This role is based in the United States and operates primarily in Central Time Zone.
- Some flexibility may be required to collaborate across time zones with colleagues and clients.
Benefits
- Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries.
- 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.
- Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps.
- Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
- You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions.
Company info
- Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
This listing is sourced directly from phData's careers page and normalized into a canonical job model.