Machine Learning Engineer

Pomelo

Machine Learning Engineer designing and deploying production models for Pomelo AI’s global technology clients. Developing ML pipelines, APIs, and data-driven solutions with Python and leading frameworks.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing machine learning models, with strong proficiency in Python and frameworks like TensorFlow and PyTorch. Capable of collaborating effectively with cross-functional teams and maintaining high standards in code quality and documentation.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingTensorFlow FrameworkData PreprocessingCloud Platforms (AWS, GCP, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsFeature EngineeringModel EvaluationExploratory Data AnalysisMLOps Tools

Soft Skills

Problem-SolvingTeam CollaborationIndependent Work

Tools & Technologies

DockerKubernetesAPI DesignDatabase Architecture

Certifications & Qualifications

Bachelor’s Degree in Technical FieldMaster’s or PhD in Computer Science or Related Field

Industry Keywords

NLPComputer VisionRecommendation SystemsReinforcement Learning

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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
Work on environment setup, scalable API design, and database architecture

Requirements

What you’ll need

Experienced Machine Learning Engineer
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
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)
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus
Master’s or PhD in Computer Science, Machine Learning, or a related field is a nice-to-have
Experience in NLP, computer vision, recommendation systems, or reinforcement learning is a nice-to-have
Exposure to MLOps tools and workflows is a nice-to-have

Benefits

Comp & perks

Competitive pay, always in US dollars
Work remotely from the comfort of your home
Health & wellness benefit
Paid holidays and time off
Performance and referral bonuses
Global exposure to the world’s best companies