ML Engineer for Digital AI Innovations

IntellicaCX; Manila; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

IntellicaCX is seeking a Machine Learning Engineer to help build AI products. You will design and develop ML systems, train and retrain models, and run experiments to validate approaches.

The role requires strong stats, programming skills, and experience with ML frameworks like Keras, PyTorch, and scikit-learn. Collaboration within a team and ongoing learning are essential to success.

Qualifications

• Proven experience as a Machine Learning Engineer or similar role.
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms.
• Ability to write robust code in Python, Java and R.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Skills

Python

Java

R

Statistics

ML algorithms

Team collaboration

Analytical thinking

Education

BSc in Computer Science

BSc in Mathematics

Master's degree

Tools

Keras

PyTorch

scikit-learn

Job description

IntellicaCX is seeking a Machine Learning Engineer to help build AI products. You will design and develop ML systems, train and retrain models, and run experiments to validate approaches.

The role requires strong stats, programming skills, and experience with ML frameworks like Keras, PyTorch, and scikit-learn. Collaboration within a team and ongoing learning are essential to success.