Overview
On Site
$62.50 - $67.50 hourly
Contract - W2
Contract - Temp
Skills
Deep Learning
Time Series
Forecasting
Algorithms
Microsoft Certified Professional
Grafana
React.js
AngularJS
Vue.js
jQuery
Design Software
Adobe XD
Sketch
Database
MySQL
MongoDB
PostgreSQL
Node.js
Java
Git
Version Control
System Testing
Testing
Agile
Communication
Collaboration
Programming Languages
Python
R
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Cloud Computing
Google Cloud Platform
Google Cloud
Microsoft Azure
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Machine Learning Engineer in Phoenix, AZ. This role will work 4-5 days onsite per week for a 6 month contract, with potential extension. In this role, the Senior ML Engineer will design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps).
REQUIREMENTS:
* 6-8 years of experience
* Hands-on experience in Time series forecasting/prediction, anomaly detection ML algorithms
* Hands-on experience in event classification and correlation ML algorithms
* Hands-on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization
* Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure
* Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery
* Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch
* Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL
* Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java
* Version Control: Experience with Git and other version control systems
* Testing: Knowledge of testing frameworks and methodologies
* Agile Development: Experience with agile development methodologies
* Communication and Collaboration: Strong communication and collaboration skills
Experience with:
* Programming languages: Python, R
* ML Frameworks: TensorFlow, PyTorch, scikit-learn
* Cloud platforms: Google Cloud, Azure
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.
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.
Kforce has a client that is seeking a Senior Machine Learning Engineer in Phoenix, AZ. This role will work 4-5 days onsite per week for a 6 month contract, with potential extension. In this role, the Senior ML Engineer will design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps).
REQUIREMENTS:
* 6-8 years of experience
* Hands-on experience in Time series forecasting/prediction, anomaly detection ML algorithms
* Hands-on experience in event classification and correlation ML algorithms
* Hands-on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization
* Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure
* Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery
* Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch
* Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL
* Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java
* Version Control: Experience with Git and other version control systems
* Testing: Knowledge of testing frameworks and methodologies
* Agile Development: Experience with agile development methodologies
* Communication and Collaboration: Strong communication and collaboration skills
Experience with:
* Programming languages: Python, R
* ML Frameworks: TensorFlow, PyTorch, scikit-learn
* Cloud platforms: Google Cloud, Azure
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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.