Summary
Join phData as a Solutions Architect on our Machine Learning Engineering team and be responsible for designing and implementing data solutions best suited to deliver on customer needs.
Requirements
- At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
- 4-year Bachelor's degree in Computer Science or a related field
- Experience deploying machine learning 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
- Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc.
- Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
- Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)
- Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)
- Development of APIs and web server applications (e.g. Flask, Django, Spring)
- Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
- Excellent communication and presentation skills; previous experience working with internal or external customers
Responsibilities
- Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack
- Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration
- Design and create environments for data scientists to build models and manipulate data
- Work within customer systems to extract data and place it within an analytical environment
- Learn and understand customer technology environments and systems
- Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
- Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
- Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
- Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
- Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
- Ensure the quality of the delivered product
Preferred Qualifications
- A Master’s or other advanced degree in data science or a related field
- Hands-on experience with one or more ecosystem technologies (e.g., Spark, Databricks, Snowflake, AWS/Azure/GCP)
- Relevant side projects (e.g. contributions to an open source technology stack)
- Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
- Experience with Docker, Kubernetes, or some other containerization technology
- AWS Sagemaker (or Azure ML) and MLflow experience
- Experience building enterprise ML models
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 weeks PTO plus 10 Holidays (and other cool perks)
- Accelerated learning and professional development through advanced training and certifications
