Senior Machine Learning Engineer

February 19

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phData

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phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

Spark • Impala • Kafka • Kudu • Scala

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

📋 Description

• Join phData, a dynamic and innovative leader in the modern data stack. • phData is a remote-first global company celebrating the culture of each team member. • Machine Learning Engineers own the infrastructure and deployment plan for data science models. • Design environments for data scientists to build models and manipulate data. • Partner with data scientists to ensure deployability of solutions. • Ensure the quality of the delivered product.

🎯 Requirements

• At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer • 4-year Bachelor's degree in Computer Engineering or a related field • Experience deploying data science models in a production setting. • Expertise in Python, Scala, Java, or another modern programming language • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries • Experience working with Data Science/Machine Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc. • Experience with Docker, Kubernetes, or some other containerization technology • Familiarity with multiple data source systems (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP) • Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), storage systems (e.g., AWS, Databricks, Cloudera) • Production experience in core data technologies (e.g. Spark, Pandas) • Development of APIs and web server applications (e.g. Flask, Django, Spring) • Complete software development lifecycle experience including design, documentation, analytical abilities; ability to translate business requirements and use cases into a solution, including ingestion of many data sources, ETL processing, data access, and consumption, as well as custom analytics • Excellent communication and presentation skills; previous experience working with internal or external customers

🏖️ Benefits

• Remote-First Work Environment • Casual, award-winning small-business work environment • Collaborative culture that prizes autonomy, creativity, and transparency • Competitive comp, excellent benefits, generous PTO plus 10 Holidays (and other cool perks) • Accelerated learning and professional development through advanced training and certifications