AI Platform Solutions Engineer

PLEASE NOTE: **Applicant MUST have PhD in Computer Science, Math, Statistics or related field.**

Job Responsibilities

• Define research goals & tasks for AI and/or data technology
• Work with university researchers on emergent AI and data technologies and algorithms
• Research and develop data platforms (open source, commercial) where this platform can be used widely across multiple business services including battery, supply chain, marketing, mobility, chatgpt for support, etc.
• Innovate and develop new data capabilities
• Generate patents and publications
• Lead discussions of multiple number of products/applications using emerging data and AI technologies
• Research and develop new capabilities within the data domains (data ingest, data integration, data labeling, data cleansing, data processing, data and AI analytics, data management)
• Develop innovative ideas and solutions for AI and data domains that deliver
• Better performance and Scalability
• Lower cost and reduce latency
• High Availability and Redundancy
• Observability and Reliability
• Encryption, Security, etc.
• Conduct PoC and benchmarks data services/capabilities to compare performance, costs and other criteria
• Establish research collaborations with leading experts in universities and industry consortiums
• Mentoring and training junior researchers in group/department wide
• Technology transfer ITL research to advanced development or valuable business contribution to the company
• Obtain patents and publish research in prestigious journals and conferences
• Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise.
• Evangelize the importance of AI, generative AI, AI platform and create vision and roadmap.

Job Qualifications

• PhD in Computer Science, Math, Statistics or related field
• Hands on experience in R&D with proven credential in patents and publications - 5 year
• Strong familiarity with end to end data services/domains and technologies
• Data Ingest (ETL, ELT, File, Streaming, Queue, etc.)
• Data integration (Quality, cleansing, labelling, API, etc)
• Data Processing
• Data Access
• Data Analytics (familiar with different tools)
• Databases (unstructured and structured – SQL, NoSQL, Vector, RDMBS, etc.)
• Data Storage technology (SSD, HDD, etc)
• Memory/Cache
• PoC and Benchmarking experience in AI or data infrastructure
• Strong research interest in data areas where data is the foundation for AI computer
• Research experience with data infrastructure, platform development, IoT, etc. - 3 years

Reliance One, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.