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Machine Learning Solutions Architect

phDataLATAM - Remote
Remote Full-time

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Experience Level

Experience

Qualifications

Bachelor's Degree in Computer Science, Engineering, or a related field is preferred. Proven experience in machine learning engineering, data architecture, and cloud services. Strong understanding of machine learning frameworks and tools. Excellent problem-solving skills and the ability to communicate complex concepts to technical and non-technical stakeholders.

About the job

Join phData, a pioneering force in the modern data landscape. We collaborate with leading cloud data platforms including Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to provide innovative services and solutions. Our mission is to assist global enterprises in tackling their most challenging data obstacles.

As a remote-first global organization, phData is home to talented individuals across the United States, Latin America, and India. We embrace the diverse cultures of our team while fostering a community that values technological curiosity, accountability, and trust. Despite our rapid growth, we maintain a vibrant and relaxed work atmosphere, empowering top performers to achieve outstanding results.

Recognized as an award-winning workplace in the US, India, and LATAM

As a Machine Learning Solutions Architect, you will be responsible for bridging the gap between data science and engineering. You will oversee the infrastructure required for deploying machine learning models, ensuring that they are built effectively using customer data and seamlessly integrated into production environments. Your role will involve providing insightful recommendations on the appropriate technologies and solutions tailored to specific use cases, effectively guiding teams in their machine learning initiatives.

About phData

phData is a leading innovator in the modern data stack, dedicated to helping organizations overcome their data challenges. We have established partnerships with major cloud data platforms and pride ourselves on our collaborative, inclusive work culture that promotes creativity and excellence.

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