Artificial Intelligence Software Developer
6 days ago
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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