Junior AI

7 days ago

Taguig, National Capital Region, Philippines Aumtrend Full time ₱1,200,000 - ₱1,560,000 per year

Role : Junior AI & Machine Learning Engineer

Company : One of the Global Client

Location : Taguig City

Shift : Hybrid & Onsite

Shift: 4pm - 1am

Exp : 2- 5+ years

Permanent role & Direct hiring by the client

Job Description :

What We're Looking For

  • Core Experience: 2-3+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems.
  • AI/ML Expertise: Deep understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly.
  • Strong Engineering Fundamentals: Proven ability in software design, data structures, algorithms, and writing clean, testable, and maintainable code.
  • Technical Breadth: Deep familiarity and hands-on experience with relevant technologies such as backend services (e.g., ), cloud platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful), CI/CD pipelines, REST/WebSocket API development, and database technologies.
  • Broad ML(Machine learning) Domain Knowledge: Practical experience or strong knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection.
  • LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring).
  • Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity.

Job Type: Full-time

Pay: Php80, Php130,000.00 per month

Benefits:

  • Health insurance
  • Life insurance

Application Question(s):

  • Practical experience or strong knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection.
  • LLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring).
  • How many years of exp do you have into AI (Artificial Intelligence) / ML (Machine Learning ) Expertise
  • How many years of exp into hands-on experience with relevant technologies such as backend services (e.g., ),
  • How many years of exp into cloud platforms (AWS/GCP/Azure),
  • How many years of exp into front-end frameworks (e.g., React Native helpful),
  • 2-3 + years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems.

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