Artificial Intelligence Software Developer

6 days ago


San Jose, California, United States AI Technologies LLC Full time

Company Overview:
AI Technologies LLC is a leading technology firm that specializes in the development of innovative artificial intelligence solutions. Our team of experts works tirelessly to create cutting-edge products that revolutionize various industries.

Job Title: Artificial Intelligence Software Developer
Location: San Jose, CA
Duration: 8 Months
Employment Type: W-2 (Consultant must be on our company payroll.)

Estimated Salary: $120,000 - $180,000 per year based on experience and qualifications.

Job Description:

We are seeking an experienced Artificial Intelligence Software Developer to join our team. As a key member of our development team, you will be responsible for designing, developing, and deploying AI-powered software solutions.

Responsibilities:

  • Developing scalable data processing pipelines for analytical and predictive platform services.
  • Collaborating with other data scientists and engineers to find effective solutions to technical challenges.
  • Providing recommendations, guidance, and options to support Pearson's GLP product development road map.
  • Working closely with engineers to build, test, deploy, and troubleshoot machine learning/algorithm-based software.

Required Skills and Qualifications:

  • MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field.
  • 5+ years of industry experience in engineering, data science, or related areas.
  • Demonstrated mastery in communication of technical ideas to non-technical audiences.
  • Ability to translate customer goals into practical engineering solutions.
  • Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, NNs, etc.
  • Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C++.
  • Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniques.
  • Familiarity with libraries such as Spark ML, TensorFlow, scikit-learn, MLib, DLib, Pandas or others like H2O, Databricks.

Benefits:



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