Remote ML Analyst: Build Production Models & Pipelines

BairesDev; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

USD-denominated compensation

Hardware provided for home setup

Flexible hours

Parental leave & vacations

Global, multicultural team

Mentorship and growth opportunities

Job summary

BairesDev is hiring a Machine Learning Analyst to develop and deploy ML solutions that solve real-world business problems. You’ll build production models and collaborate with product and data teams to bring AI models to production.

You’ll implement best practices across the development lifecycle, monitor model performance, and translate requirements into scalable ML solutions. This fully remote role offers flexible hours, competitive USD compensation, and opportunities for growth within a global

Qualifications

• 3+ years of experience in applied machine learning or ML engineering.
• Strong knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with Python, ML deployment, and MLOps practices.
• Familiarity with data processing, feature engineering, and model evaluation.
• Understanding of cloud platforms and production ML systems.
• Advanced level of English.

Responsibilities

• Design, develop, and deploy machine learning models for business applications.
• Build and optimize ML pipelines from experimentation to production deployment.
• Collaborate with data scientists and engineers to translate requirements into ML solutions.
• Monitor model performance and implement improvements to ensure accuracy and reliability.
• Integrate ML models with existing systems and infrastructure.
• Document technical solutions and contribute to knowledge sharing within the team.

Skills

ML engineering

Python

TensorFlow/PyTorch

ML deployment

MLOps

Data processing

English proficiency

Tools

scikit-learn

Job description

BairesDev is hiring a Machine Learning Analyst to develop and deploy ML solutions that solve real-world business problems. You’ll build production models and collaborate with product and data teams to bring AI models to production.

You’ll implement best practices across the development lifecycle, monitor model performance, and translate requirements into scalable ML solutions. This fully remote role offers flexible hours, competitive USD compensation, and opportunities for growth within a global