What are the responsibilities and job description for the Senior ML Engineer position at Kforce Inc?
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
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
- Programming languages: Python, R
- ML Frameworks: TensorFlow, PyTorch, scikit-learn
- Cloud platforms: Google Cloud, Azure
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.
Salary : $63 - $68
