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An innovative leader in the modern data stack is seeking a Principal Solutions Architect specializing in AI/ML. This exciting role involves architecting high-performance solutions, mentoring teams, and driving client engagement. The company fosters a remote-first culture with a focus on collaboration and creativity, offering competitive compensation and opportunities for professional development. Join a forward-thinking organization that values diversity and is committed to overcoming data challenges for global enterprises. If you are passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.
Join to apply for the Machine Learning Principal Solutions Architect role at phData.
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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 team member and foster a community of curiosity, ownership, and trust. Despite rapid growth, we maintain a casual, exciting work environment. We hire top performers and provide autonomy to deliver results.
Our Principal Solutions Architects drive delivery excellence and ensure customer success. They are responsible for delivering high-quality AI/ML solutions, driving account growth, and engaging strategically with clients. We seek brilliant engineers and prescriptive consultants who embody customer obsession. Combining technical expertise with strategic insight and relationship-building is key to elevating our consulting services and client success.
As a Principal Solutions Architect on our Machine Learning Engineering team, your responsibilities include:
Preferred additional qualifications include an advanced degree, relevant side projects, experience with ML libraries (h2o, TensorFlow, etc.), containerization technologies, and enterprise ML model building experience.
We value diversity and are committed to an inclusive environment. We prohibit discrimination and harassment and provide accommodations for disabilities. Join us to be part of a team that values backgrounds, perspectives, and abilities.