Machine Learning Engineer - Digital

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

About the job Machine Learning Engineer - Digital

Machine Learning Engineer responsibilities include:

• Designingand developing machine learning and deep learning systems
• Runningmachine learning tests and experiments

Job brief

We are looking for a Machine Learning (ML) Engineer to helpus create artificial intelligence products.

Machine Learning Engineer responsibilities include creatingmachine learning models and retraining systems. To do this job successfully,you need exceptional skills in statistics and programming. If you also haveknowledge of data science and software engineering, we’d like to meet you.

Your ultimate goal will be to shape and build efficientself-learning applications.

Responsibilities

• Studyand transform data science prototypes
• Designmachine learning systems
• Researchand implement appropriate ML algorithms and tools
• Developmachine learning applications according to requirements
• Selectappropriate datasets and data representation methods
• Runmachine learning tests and experiments
• Performstatistical analysis and fine-tuning using test results
• Trainand retrain systems when necessary
• Extendexisting ML libraries and frameworks
• Keepabreast of developments in the field

Requirements

• Provenexperience as a Machine Learning Engineer or similar role
• Understandingof data structures, data modeling and software architecture
• Deepknowledge of math, probability, statistics and algorithms
• Abilityto write robust code in Python, Java and R
• Familiaritywith machine learning frameworks (like Keras or PyTorch) and libraries(like scikit-learn)
• Abilityto work in a team
• Outstandinganalytical and problem-solving skills
• BSc inComputer Science, Mathematics or similar field; Master’s degree is a plus