Senior Machine Learning Engineer at SYMANTRIX INC
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

17 Jul, 25

Salary

75.0

Posted On

17 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Performance Metrics, Data Analysis

Industry

Information Technology/IT

Description

JOB DESCRIPTION:

To effectively monitor using Fiddler AI or Lumenova tools implemented use cases, key skills include:

  • understanding AI model metrics, data analysis, statistical knowledge, familiarity with bias detection techniques, prompt engineering, LLM specific monitoring capabilities, visualization skills, and the ability to interpret model explanations to identify potential issues like hallucinations, safety violations, and data drift; all while being able to leverage Fiddler AI’s or Lumenova features for comprehensive monitoring and analysis across different AI applications

Specific skills to focus on when monitoring Fiddler AI and Lumenova AI tools:

  • Model performance metrics:
  1. Accuracy, precision, recall, F1-score, perplexity, BLEU score (depending on the AI task)

  2. Monitoring changes in these metrics over time to detect model drift

  • Data analysis:
  1. Identifying patterns and anomalies in input data and model outputs

  2. Analyzing data distributions to detect potential biases

  • Bias detection:
  1. Understanding protected attributes and how to assess bias across different demographic groups

  2. Utilizing Fiddler’s fairness metrics like disparate impact and equal opportunity

  • Prompt engineering:
  1. Crafting effective prompts to test model behavior and identify potential issues

  2. Understanding how different prompts can influence model responses

  • LLM specific monitoring:
  1. Identifying and mitigating hallucinations (generated text that is factually incorrect)
  2. Detecting safety violations like toxic language or personal information leaks

  3. Monitoring for prompt injection attacks

  • Visualization skills:
  1. Creating dashboards and visualizations to effectively communicate model performance and potential issues

  2. Using tools like 3D UMAP to identify clusters and patterns in data

  • Model explainability:
  1. Interpreting model explanations provided by Fiddler to understand why a model made a certain prediction

  2. Utilizing these explanations to identify areas for model improvement

  • Fiddler AI or Lumenova platform knowledge:
  1. Familiarity with Fiddler’s / Lumenova features like data ingestion, model monitoring, bias detection, and root cause analysis
  • Fiddler tool (3-5 years)
  • Lumenova tool (3-5 years)
  • Azure/cloud knowledge (3-5 years)
  • AI use case implementation (3-5 years)

Job Types: Full-time, Contract
Pay: $65.00 - $75.00 per hour
Expected hours: 40 per week

Benefits:

  • Health insurance

Schedule:

  • 8 hour shift
  • Day shift
  • Monday to Friday

Experience:


    • Fiddler and Lumenova: 3 years (Required)

    Work Location: Remot

    Responsibilities

    Please refer the Job description for details

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