This is a remote position.

We are seeking an
AI Operations Analyst
to support the day-to-day operations, monitoring, and performance of AI-driven applications and data platforms. This role focuses on ensuring the
accuracy, reliability, and ongoing optimization
of AI solutions deployed across
AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations
.

This position sits at the intersection of
production support, data analysis, and AI performance monitoring
, making it ideal for someone with a blend of technical troubleshooting and analytical skills.

Key Responsibilities

• 
  Monitor and support
  AI/ML-driven applications
  in production environments
• 
  Track and analyze
  AI model performance
  , identifying issues such as data drift, anomalies, or degradation
• 
  Validate
  data inputs and outputs
  across data pipelines and reporting tools (Tableau, Power BI)
• 
  Investigate and resolve
  production issues, alerts, and inconsistencies
  related to AI and data systems
• 
  Support
  data pipelines (ETL/ELT)
  and ensure data quality across integrated systems
• 
  Assist with
  incident management
  , root cause analysis, and resolution tracking
• 
  Validate integrations across systems including
  CRM platforms (DealCloud)
• 
  Collaborate with data engineers, QA, and AI teams to ensure
  ongoing model accuracy and system performance
• 
  Maintain documentation,
  runbooks, and operational procedures
• 
  Identify opportunities for
  automation and optimization
  of AI operations workflows

Requirements

Required Qualifications

• 
  2–5 years of experience in
  Production Support, Data Analysis, QA, or IT Operations
• 
  Strong analytical skills with experience in
  data validation and troubleshooting
• 
  Proficiency in
  SQL
  for querying and analyzing data
• 
  Familiarity with
  cloud environments (AWS and/or Azure)
• 
  Experience working with or supporting
  data pipelines and ETL/ELT processes
• 
  Experience with
  monitoring tools or dashboards
• 
  Strong problem-solving skills and attention to detail

Key Traits for Success

• 
  Strong attention to detail and
  data accuracy
• 
  Curiosity about how AI systems behave and evolve
• 
  Ability to analyze issues and identify root causes
• 
  Strong collaboration across technical teams
• 
  Adaptability in a
  fast-paced, AI-driven environment