• You are an expert programmer having ML and data processing experience

• You will work closely with the AI/ML engineers and data scientists in the CLAIRE and product teams to acquire and process data, debug, create and improve ML models, to help with ML-centric quality assurance and to develop software infrastructure to assist the above tasks

• You will work with a variety of data types, including structured, semi-structured, and textual data

• You will create enterprise-grade data pipelines that feed state of the art AI/ML models
• You will possess strong communication skills and collaborate closely with AI/ML engineers, data scientists, production teams, and customers
• We need independent thinkers who can operate with minimal guidance from product managers and architects
• We would like you to embrace complex problems and provide thoughtful intelligence-based solutions
• Your technical capability to understand the product in a short time and adapt to changing circumstances will be well received

Your Qualifications

• BS/MS in Computer Science with minimum 8 years of experience

• Experience in architecting developing large enterprise scale distributed, high performance processing platforms (data scraping, extraction, cleaning, normalization, ground-truth creation)

• Experience in implementing and deploying AI/ML solutions.

• Experience with container technologies like Docker/Kubernetes

• Very strong technical skills with the ability to evaluate key technical proposals and hire and mentor excellent engineers

• Experience through the entire platform development lifecycle, building platforms from the ground up, onboarding stakeholders on the platform as well as supporting successful adoption of products and customers on the platform.

• Excellent presentation skills, sharing technical decisions and discuss complex technical details with cross-functional teams, executives and external partners

• Working knowledge on technologies around persistence, search, graph and distributed technologies

• Familiar with Cloud infrastructure and big data frameworks (Spark)