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Open nowFirst seen 5 days ago

AI/Machine Learning Analyst

Q2 HR Solutions - Group of Companies328 open roles

Where
Quezon City, Metro Manila, Philippines, Remote
Work mode
Remote
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Your applicationOpen nowAI/Machine Learning AnalystQ2 HR Solutions - Group of Companies · Quezon City, Metro Manila, Philippines, Remote
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Summary:

The AI / Machine Learning Analyst is responsible for analyzing complex datasets, developing AI-driven insights, and supporting the design and implementation of machine learning models that enhance business decision-making. This role bridges data science and technical implementation, ideal for someone who enjoys turning data into meaningful, actionable intelligence. A strong background in ERP systems is a plus, as many insights will come from ERP data.

Duties and Responsibilities:

  • Analyze large datasets from ERP systems and other sources to identify trends, patterns, and opportunities for AI-driven optimization.
  • Develop, test, and validate machine learning models in collaboration with business intelligence analysts.
  • Evaluate AI systems and algorithms, providing recommendations for improvements in accuracy, performance, and usability.
  • Translate technical findings into clear insights for business stakeholders, including reports, dashboards, and presentations.
  • Support AI project lifecycles, including data collection, preprocessing, feature engineering, and model monitoring.
  • Research emerging AI technologies and assess their potential impact on business processes and products.
  • Ensure ethical, secure, and compliant use of AI, following internal policies and relevant regulations.
  • Collaborate cross-functionally with product, engineering, operations, and leadership teams to identify new opportunities for AI adoption.

Qualifications:

  • Bachelors degree in a quantitative field (e.g., Computer Science, Data Science, Statistics) or equivalent portfolio experience.
  • Experience with cloud platforms (Azure or AWS).
  • Knowledge of natural language processing (NLP), computer vision, or generative AI techniques.
  • Background in statistical modeling or predictive analytics.
  • 2+ years of experience working with data analytics, machine learning, or AI technologies (or relevant academic/portfolio work).
  • Familiarity with machine learning frameworks.
  • Experience working with ERP systems and analyzing ERP data.
  • Ability to interpret and communicate complex technical concepts to non-technical audiences.
  • Experience with Microsoft Fabric is a plus.

Preferred Qualifications:

Hands-on experience with ERP data modeling, reporting, or predictive analytics.

Key Competencies:

  • Analytical and critical thinking
  • Strong problem-solving abilities
  • Curiosity and continuous learning mindset
  • Attention to detail and data accuracy
  • Collaboration and communication skills
  • Ability to work on multiple projects and meet deadlines
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