Machine Learning Solutions Architect

Who you are

You have a strong background in machine learning and data engineering, with experience in deploying machine learning models into production environments. You are familiar with major cloud platforms such as AWS, Azure, and GCP, and have hands-on experience with tools like dbt and Fivetran. Your programming skills in Python are complemented by your knowledge of machine learning frameworks such as TensorFlow and PyTorch. You thrive in a remote-first environment and are comfortable collaborating with teams across different regions. You are a problem solver who enjoys tackling complex data challenges and providing innovative solutions.

Desirable

Experience with Snowflake and other data warehousing solutions is a plus. Familiarity with data pipeline tools and ETL processes will enhance your ability to deliver effective solutions. You are proactive in staying updated with the latest trends in machine learning and data engineering, and you are eager to share your knowledge with your team.

What you'll do

In this role, you will be responsible for designing and implementing machine learning solutions that meet the needs of our clients. You will collaborate with data scientists and engineers to ensure that models are built effectively using customer data. Your role will involve owning the infrastructure and deployment plans, ensuring that data science models are not only built but also successfully deployed into production. You will provide thought leadership by recommending the right technologies and solutions for various use cases, from the application layer to the infrastructure. You will also engage with clients to understand their data challenges and provide tailored solutions that drive business value.

What we offer

At phData, we offer a supportive and inclusive work environment that celebrates diversity. You will have the opportunity to work with cutting-edge technologies and be part of a team that is recognized as a leader in the modern data stack. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to help global enterprises overcome their toughest data challenges and make a significant impact in the industry.