A technology company in Makati seeks a Machine Learning Engineer with 3-5 years of experience to design and implement machine learning models. The candidate will analyze large datasets, collaborate with cross-functional teams, and tune model performance. A Bachelor’s degree in Computer Science or related field is required, along with proficiency in Python and machine learning libraries. This position is full-time and offers a hybrid work model.
Qualifications
3–5 years of relevant experience in machine learning.
Experience in data preprocessing and feature engineering.
Proven ability to evaluate model performance.
Responsibilities
Design and implement machine learning models and algorithms.
Analyze large datasets to derive insights.
Collaborate with cross-functional teams on ML solutions.
Tune hyperparameters for optimal model results.
Stay updated with advancements in machine learning.
Skills
Proficiency in Python
Machine learning libraries: TensorFlow
Machine learning libraries: PyTorch
Machine learning libraries: Scikit-learn
Strong analytical skills
Problem-solving abilities
Education
Bachelor’s degree in Computer Science
Bachelor’s degree in Data Science
Bachelor’s degree in a related field
Job description
Hybrid - Makati 3-5 Yrs Exp Bachelor Full-time
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Job Description
Description
Design and implement machine learning models and algorithms.
Analyze large datasets to derive insights and improve model performance.
Collaborate with cross‑functional teams to integrate ML solutions into products.
Evaluate model performance and tune hyperparameters for optimal results.
Stay updated with the latest advancements in machine learning and AI technology.
Requirements
Educational Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field.
Experience Level: 3–5 years of relevant experience in machine learning.
Skills and Competencies: Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
Responsibilities and Duties: Proven ability to work with data preprocessing, feature engineering, and model evaluation.
Qualities and Traits: Strong analytical skills and problem‑solving abilities.
Working Conditions: Ability to work both independently and in a team‑oriented environment.