AI/ML Engineer

AI/ML Engineer Location: Phoenix, AZ

Experience Level: 8+ years

Rate:

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.

Required Skills and Experience:

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.

Preferred Qualifications:

Experience in AIOps and handling observability data.

Proven track record of leading and mentoring engineering teams.