Machine Learning Developer – Remote

Job Description

Freelancer Prox is the first platform to offer a completely cost-free experience for both recruiters and job seekers. By creating a professional profile, candidates can boost their global visibility and significantly increase their chances of securing employment quickly for both remote and on-site roles. We encourage professionals to set up their profiles today to maximize opportunities for immediate and worldwide job placements. Freelancer Prox is actively seeking talented candidates for its future clients.

Job Summary:

We are seeking a talented Machine Learning Developer to design, develop, and deploy machine learning models and algorithms that solve real-world problems and drive innovation. The ideal candidate will have strong programming skills, a deep understanding of data science principles, and practical experience in building, training, and deploying machine learning solutions.

Key Responsibilities:

• Design and develop machine learning models and algorithms to address business challenges.
• Gather, clean, and preprocess large datasets for training and evaluation.
• Conduct data analysis and feature engineering to improve model accuracy and performance.
• Train, test, and validate machine learning models using appropriate frameworks and libraries.
• Deploy models into production environments and monitor their performance.
• Collaborate with data engineers, software developers, and business stakeholders to integrate ML solutions into applications.
• Continuously research and apply state-of-the-art techniques to enhance models and workflows.
• Document processes, experiments, and results for knowledge sharing and reproducibility.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proven experience in machine learning development, including building and deploying models.
• Strong programming skills in Python (preferred) or R; experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar.
• Solid understanding of supervised and unsupervised learning algorithms.
• Experience working with large datasets and data pipelines.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and ML deployment best practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a collaborative team.

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