Machine Learning Engineer / AI Engineer at Kforce Inc.
Cupertino, CA 95014
About the Job
Requirements:
- Highly proficient in at least one of the programming languages, preferably in Python, Go, TypeScript or Scala/Java
- Expertise in Machine Learning application development or platform engineering
- Experience in Containerization and IAC (Infra as Code) technologies with at least one of the major Cloud providers
- Good understanding of data science and machine learning principles
- Deep understanding on LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) concepts
- Hands-on experience in building LLM/RAG applications is highly preferred
- Good understanding of security protocols, including TLS, SSH
- Familiarity with distributed data systems such as Kafka, Spark, ELK
- Workable experience with the CI/CD, DevOps and SRE tool chains
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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