Dice
Machine Learning Engineer / AI Engineer
Dice, Cupertino, California, United States, 95014
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Kforce Technology Staffing, is seeking the following. Apply via Dice today!
RESPONSIBILITIES:
Kforce has a client that is seeking a Machine Learning Engineer/AI Engineer in Cupertino, CA.
Summary:
As a Generative AI (GenAI) Platform Engineer, you will be responsible for designing, developing, and operating our internal GenAI platform that will enable company developers to rapidly launch GenAI-enabled services for the customers. You will work closely with Data Science, Data Engineering, MLOps teams, and other stakeholders to ensure the platform is feature-rich, secure, robust, and scalable. Your expertise in machine learning engineering (especially in GenAI), platform development, and cloud technologies will be crucial in driving our projects forward.
Key Responsibilities:
Design and develop Generative AI platforms based on microservices and event-driven architectures.Write clean, efficient, and maintainable code in Python, with additional experience in Go and/or TypeScript being a plus.Implement the fundamental building blocks along with working examples to deliver the platform-level capabilities as planned.Build, deploy, and manage Cloud-native Machine Learning applications using Docker, Kubernetes, and Terraform.Collaborate with Data Scientists to integrate Machine Learning models and the run-time dependencies into the platform.Work with Domain Application team to help with onboarding, troubleshooting, customization, and enhancements.Conduct testing activities to meet various security, compliance, and technical standards in the company.
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 of LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) concepts.Good understanding of security protocols, including TLS and SSH.Familiarity with distributed data systems such as Kafka, Spark, ELK.Workable experience with the CI/CD, DevOps, and SRE tool chains.Hands-on experience in building LLM/RAG applications is highly preferred.
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 remain 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.
By clicking 'Apply Today' you agree to receive calls, AI-generated calls, text messages, or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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RESPONSIBILITIES:
Kforce has a client that is seeking a Machine Learning Engineer/AI Engineer in Cupertino, CA.
Summary:
As a Generative AI (GenAI) Platform Engineer, you will be responsible for designing, developing, and operating our internal GenAI platform that will enable company developers to rapidly launch GenAI-enabled services for the customers. You will work closely with Data Science, Data Engineering, MLOps teams, and other stakeholders to ensure the platform is feature-rich, secure, robust, and scalable. Your expertise in machine learning engineering (especially in GenAI), platform development, and cloud technologies will be crucial in driving our projects forward.
Key Responsibilities:
Design and develop Generative AI platforms based on microservices and event-driven architectures.Write clean, efficient, and maintainable code in Python, with additional experience in Go and/or TypeScript being a plus.Implement the fundamental building blocks along with working examples to deliver the platform-level capabilities as planned.Build, deploy, and manage Cloud-native Machine Learning applications using Docker, Kubernetes, and Terraform.Collaborate with Data Scientists to integrate Machine Learning models and the run-time dependencies into the platform.Work with Domain Application team to help with onboarding, troubleshooting, customization, and enhancements.Conduct testing activities to meet various security, compliance, and technical standards in the company.
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 of LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) concepts.Good understanding of security protocols, including TLS and SSH.Familiarity with distributed data systems such as Kafka, Spark, ELK.Workable experience with the CI/CD, DevOps, and SRE tool chains.Hands-on experience in building LLM/RAG applications is highly preferred.
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 remain 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.
By clicking 'Apply Today' you agree to receive calls, AI-generated calls, text messages, or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
#J-18808-Ljbffr