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Lead Data Scientist

TechDigital

  • Fremont, CA
  • 2 days ago

    Highlights

    Min) Intermediate/ Proficient/ Expert AI / ML Microservices & API Development Python SQL Knowledge of popular LLMs like ChatGPT, Claude, etc prompt engineering . Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

    Numbers & Facts

    LocationFremont, CA
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    SkillYes/NoYears of Exp
    (Min)    		Intermediate/ Proficient/ Expert
    AI / ML
    Microservices & API Development
    Python
    SQL
    Knowledge of popular LLMs like ChatGPT, Claude, etc
    prompt engineering



    Job Responsibilities
    • Maintain and monitor existing AI/ML based solutions/services
    • develop automated alerting system to ensure quality of the services and data
    • Develop data visualizations and reports to communicate findings to stakeholders
    • Collaborate with cross-functional teams to identify business problems and develop data-driven AI/ML solutions
    • Influence short- and long-term strategy with cross-functional teams to drive impact.
    • Support on-call shift as needed to support the team

    Minimum Qualifications
    • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
    • Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.)
    • Experience with data cleaning, data preprocessing, and data analysis
    • 5+ years of experience in software development with Python (knowledge/experience with PHP or Java is a plus)
    • Experience with service deployment, microservices,and APIs (RESTful API or GraphQL) designs
    • Experience with git or similar version control tools. Good understanding of version control (branch, commit, pull, etc.)
    Preferred Qualifications
    • Experience with service monitoring, anomaly detection, and alert automation
    • Knowledge of CI/CD, containerization, container orchestration, and IaC
    • Familiarity with agile development methodologies such as Scrum or Kanban
    • Understanding of predictive analytics and algorithms like linear regression, clustering, decision trees, etc.
    • Knowledge of prompt engineering
    • Knowledge of popular LLMs like ChatGPT, Claude, etc. and introductory experience with prompting and prompt engineering.

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