Senior AI Data Research Scientist Emerging Technologies Job at Artmac Soft LLC, Mountain View, CA

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  • Artmac Soft LLC
  • Mountain View, CA

Job Description

Who We Are:


Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to customers.



Job Description


Job Title : Senior AI & Data Research Scientist Emerging Technologies

Job Type : W2


Experience : 7 20 years


Location : Mountain View California

Required Skills and Experience:

    • Corporate lab setting with a proven track record of cross functional collaboration and achievements experience
    • Key components of IoT edge distributed cloud architecture with emphasis on connected systems 3 years
    • Experience of proofofconcept (PoC) prototyping for connected cars and IoT systems 3 years
    • Experienced with prototyping and cloud bulk data injestion techniques (e.g. AWS Spark Kaftka) 2 years
    • Programming experience with Python Rust and embedded systems (e.g. NVIDIA Jetson Arduino etc) 2 years
    • Working experience and knowledge of connect car architecture and vehicle compute requirements 2 years
    • Broad knowledge of Computer Systems Software engineering and Embedded Systems
    • Experience working and communicating in multicultural and multinational companies 2 years
    • 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
    • Experience with advanced data platform distributed cloud systems & architecture including data management data ingestion data analytics data processing data observability for infrastructure data normalization clustering logs tools monitoring etc. 3 years
    • Handson prototyping and programming knowledge (e.g. Python SQL/NoSQL Kafka Spark etc). 3 year
    • Managed research projects e.g. planning reporting and managing time / team / outside collaborators 3 year
    • Welldeveloped interpersonal and communication skills including ability to respond professionally in all types of situation.

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.

Qualification:

  • PhD in Engineering (e.g. Computer Science Data Science Information/Data Management Math Statistics Information Theory etc) or related field

Job Tags

Work experience placement,

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