Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
AI/ML Engineer
Python and R
ML Frameworks
React
Angular
Vue.js
and jQuery
Figma
Adobe XD
Sketch
MySQL
MongoDB
PostgreSQL
Python
Node.js
Java
Version Control
testing frameworks and methodologies
Job Details
Job Title: AI/ML Engineer on W2 only
Location: Phoenix, AZ (Onsite)
Experience Level: 8+ years
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
Location: Phoenix, AZ (Onsite)
Experience Level: 8+ years
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
- Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
- Develop and implement deep learning applications and systems for observability data (AIOps).
- Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
- Implement MCP client and server within the Grafana ecosystem or similar platforms.
- Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
- Lead and mentor a team of engineers, both onshore and offshore.
- Programming Languages: Proficiency in Python and R.
- ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
- Cloud Platforms: Working knowledge of Google Cloud and Azure.
- Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
- Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
- Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
- Server-Side Languages: Familiarity with Python, Node.js, and 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 in AIOps and handling observability data.
- Proven track record of leading and mentoring engineering teams.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
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.