Software Engineer
Ex Parte is looking for talented, enthusiastic software developers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.
Requirements:
- Proficiency writing production-quality code, preferably in R, Python, SQL, or SAS
- Strong familiarity with map/reduce programming models
- Outstanding communication skills
- Deep expertise in database schema design, optimization, and scalability
- Expert knowledge of SQL Server environments for database design and development
- Experience with Azure or AWS cloud-based service oriented architecture
- Solid understanding of testing pyramid (unit, integration, black box, service)
- Experience working in an Agile/Scrum environment
Desired Skills and Experience:
- Working with data lakes and NoSQL databases
- Building machine learning models from the ground up
- Working with huge data sets
- Using PowerBI, Tableau, or similar tools
Machine Learning Engineer
Ex Parte is looking for talented, enthusiastic machine learning engineers who know how production-scale ML systems are built and have experience building them. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.
Requirements:
- Deep experience with predictive analytics
- Proficiency writing production-quality code, preferably in R, Python, SQL, or SAS
- Experience working with huge data sets
- Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods
- Outstanding communication skills
- Experience working in an Agile/Scrum environment.
Desired Skills and Experience:
- Data preparation, cleansing, and transformation from any data source
- Working with data lakes and NoSQL databases
- ML Studio, Cloudera, Hadoop, Spark, MLlib
- Azure or AWS cloud-based service oriented architecture