Senior Machine Learning Engineer

<h3>📋 Description</h3> • 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. • phData is a remote-first global company with employees based in the United States, Latin America and India. • We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. • Machine Learning Engineers are the Swiss army knives of machine learning. • They own the infrastructure and deployment plan—from making sure data science models can actually be built using customer data to deploying them into a production environment. • They provide thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure. • Machine Learning Engineers have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production — and to help ensure performance, security, scalability, and robust data integration. • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment. <h3>🎯 Requirements</h3> • At least 4 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer • 4-year Bachelor&#39;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, ong 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 <h3>🏖️ Benefits</h3> • 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