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Pomelo

Machine Learning Engineer

Pomelo Philippines

Outsourcing and Offshoring Consulting · 11-50 employees

Aug 05
Remote machine-learning Mid (2-5 yrs) Full-time Philippines
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About the role

Design, implement, and optimize machine learning models for production environments while collaborating with cross-functional teams. Develop and maintain ML pipelines, including model training, validation, and deployment, while monitoring performance.

What they look for

Python TensorFlow PyTorch Scikit-learn Machine learning algorithms Statistics Probability Data preprocessing Feature engineering Model evaluation AWS GCP Azure Docker Kubernetes MLOps

Requirements

Requires a bachelor's degree in a technical field and strong proficiency in Python and ML frameworks. Candidates must have solid understanding of machine learning algorithms and the ability to work in a US time zone.

Benefits

Competitive pay Remote work Paid holidays Paid time off Performance bonus

Full description

Pomelo AI places the best offshore AI talent with leading tech companies across the globe. We enable hard-working and ambitious talent to work remotely from their home countries, while gaining exposure into how the world’s top companies operate.

ABOUT THE ROLEWe are seeking an experienced Machine Learning Engineer to design, develop, and deploy machine learning models for real-world applications. The ideal candidate is passionate about AI, has strong software engineering skills, and can translate business or research requirements into production-ready solutions. This is a hands-on engineering role, where you’ll work on environment setup, scalable API design, and database architecture.

KEY RESPONSIBILITIES

  • Design, implement, and optimize machine learning models for production environments
  • Collaborate with data engineers, software engineers, and product teams to integrate ML solutions
  • Perform data preprocessing, feature engineering, and exploratory data analysis
  • Develop and maintain ML pipelines, including model training, validation, and deployment
  • Monitor model performance and implement improvements or retraining as needed
  • Stay up-to-date with the latest ML research, techniques, and best practices
  • Contribute to technical documentation and knowledge sharing

QUALIFICATIONS

  • Bachelor’s degree in a technical field
  • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Solid understanding of machine learning algorithms, statistics, and probability
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus
  • Ability to write clean, maintainable, and well-documented code
  • Excellent problem-solving skills and ability to work independently or in a team
  • Ability to work in a US time zone, Monday to Friday (8 hours per day)

NICE-TO-HAVES

  • Master’s or PhD in Computer Science, Machine Learning, or a related field
  • Experience in NLP, computer vision, recommendation systems, or reinforcement learning
  • Exposure to MLOps tools and workflows

BENEFITS

  • Competitive pay, always in US dollars
  • Work remotely from the comfort of your home
  • Paid holidays and time off
  • Performance bonus
  • Global exposure to the world’s best companies

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