Junior Innovation Engineer

Jobtailor

Taguig

On-site

PHP 1,000,000 - 1,800,000

Full time

6 days ago
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Job summary

Jobtailor is seeking an AI/ML engineer to tackle strategic problems and improve operations through intelligent automations. You will design and implement AI- and ML-enabled tools, leveraging GCP partnerships with modern tech stacks to speed up decision making.

The role emphasizes deep learning frameworks (PyTorch/TensorFlow), cloud environments, and a collaborative, detail-oriented approach to deliver measurable impact across business challenges.

Qualifications

  • Strong technical foundations.
  • Proficient in Python, C++, and SQL.
  • Experience with Kubernetes, Docker and CI/CD in cloud environments (GCP preferred).
  • Experience with PyTorch and TensorFlow.
  • Collaborative and methodical, proactive and detail-oriented.
  • Solid understanding of statistics and probability.

Responsibilities

  • Tackle strategic AI/ML problems with measurable impact.
  • Design and implement AI- and ML-enabled tools and data pipelines.
  • Leverage Google Cloud partnership and modern tech stacks to accelerate decisions.

Skills

Python
C++
SQL
Machine Learning
Statistics
Probability Fundamentals
AI/ML Foundations

Tools

Kubernetes
Docker
CI/CD
PyTorch
TensorFlow

Job description

  • Tackle strategic problems and work on real business challenges, including improving operations through intelligent automations and using machine learning to speed up decision making
  • Design and implement AI- and ML-enabled tools using AI and ML models, large language models, or data science pipelines with measurable impact
  • Use the Google Cloud partnership to work with modern technology stacks and access exclusive tooling and learning opportunities
  • Stay up to date with the latest developments in machine learning
Requirements
  • Strong technical foundations
  • Experience with common programming languages such as Python, C++ and SQL
  • Demonstrable experience operating in modern cloud environments (GCP preferred) using Kubernetes, Docker and CI/CD
  • Experience of deep learning frameworks such as PyTorch and TensorFlow
  • Collaborative and methodical approach
  • Proactive and attentive to detail
  • Creative problem-solving abilities
  • Strong grasp of statistics and probability fundamentals
Core Competencies

Demonstrates expertise in designing and implementing AI and ML-enabled tools, leveraging cloud environments and modern technology stacks to drive operational improvements. Proficient in programming languages and deep learning frameworks, with a strong foundation in statistics and probability.

Highest-signal resume keywords
  • Python Programming
  • Machine Learning
  • Google Cloud Platform (GCP)
  • Deep Learning Frameworks
  • Kubernetes
Hard Skills
  • C++ Programming
  • SQL Programming
  • AI Model Design
  • ML Model Implementation
  • Data Science Pipelines
  • PyTorch
  • TensorFlow
  • Statistics
  • Probability
  • CI/CD
Soft Skills
  • Creative Problem-Solving
  • Collaborative Approach
  • Methodical Approach
  • Attention to Detail
  • Proactive Attitude
Industry Keywords
  • Intelligent Automations
  • Business Challenges
  • Operational Improvements
  • Large Language Models
  • Latest Developments in Machine Learning
Tools & Technologies
  • Docker
  • Cloud Environments
  • Modern Technology Stacks
  • AI Tools
  • ML Tools
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