Description:
Our Data Engineering & AI/ML team is critical to making our customers successful. You should have strong fundamentals of applied data science in a business setting, and enjoy communicating and evangelizing varying data science and AI/ML solutions to business stakeholders. As our team grows, you will have the opportunity to shape the direction of development and strategy for Aritex as well.
Responsibilities:
- Represent the Aritex team from a technical standpoint to customers – including pre-sales support, architecting solutions, estimating effort, writing SOWs, running demonstrations, conducting proof-of-value trials, helping clients define & evaluate success criteria, as well as follow on professional services work
- Support customers and Aritex sales teams in data exploration, use case ideation & prioritization and business case justification exercises
- Design and implement machine learning models and data ingestion pipelines
- Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements
- Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources
- Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs
- Implement machine learning solutions and big data platforms in hybrid and multi-cloud environments
Requirements:
- 7+ years of ML experience
- Advanced proficiency with Python
- Extensive knowledge of Client frameworks, libraries, data structures, data modeling, and software architecture
- Good understanding of mathematics, statistics, and algorithms
- Excellent analytical and problem-solving abilities
- Great communication and collaboration skills
- Ability to manage and prioritize several tasks or projects at one time while delivering exceptional quality and customer experiences