The company is looking to solve the problem of growing the use of AI within customer and employee facing experiences, and to drive AI opportunities across a wide range of centralized and distributed environments.
Requirements
- 5+ years of work experience in Software Engineering
- 3+ years of work/educational experience in Artificial Intelligence/Machine Learning
- Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
- Development experience on AWS, AWS Sagemaker required
- Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
- Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition
- Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch
Responsibilities
- Grow use of AI within customer and employee facing experiences
- Provide technical thought-leadership and direction for AI solutions across a wide range of centralized and distributed environments across the Client landscape
- Design, Develop, Monitor, and scale AI components, APIs, and loosely coupled applications and integrate these with highly available channels and systems
- Incorporate security standards, test-driven development, and pipeline deployment automation to achieve robust reliability and scale
- Mentor junior team-mates to define and implement detailed measurement data, error logging/tracking for all products within our domain
- Initiate and lead code reviews and continuous improvement efforts
- Analysis and implementation of Performance/Stability/Reliability initiatives
Other
- Collaborate frequently to share ideas and gain perspective. Communicates critical information in a clear and timely manner. Listens to others. Seeks clarification and confirms shared understanding when communicating
- Delivering with Quality and Speed
- Collaborate with business and product owners, understanding the product and business domain to engineer solutions that create a competitive advantage
- Work within a team of engineers and cross-divisionally to design and build Artificial Intelligence into technical solutions at scale
- Own and support what you build o Production issue triage, management, and prevention with a focus on continuous improvement
