Machine Learning Analyst - Remote Work | REF#309358

BairesDev

United States

Remote

USD 120,000 - 180,000

Full time

2 days ago
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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

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Machine Learning Analyst, you'll develop and deploy ML solutions that solve real-world business problems. You'll build production models, collaborate with product and data teams to bring AI models to production, and implement best practices throughout the development process.

What You’ll Do
  • 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.
What We Are Looking For
  • 3+ years of experience in applied machine learning or ML engineering.
  • Strong knowledge of machine learning 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.
How we do make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

#BD-PRIO-2026

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