Machine Learning Engineer (Remote)

About the role

BairesDev is seeking a Machine Learning Engineer to design, build, and deploy production‑ready ML models. You will work remotely with a global team of top‑tier engineers, turning experimental data‑science work into reliable, scalable services.

Key responsibilities

• Design and implement end‑to‑end machine‑learning pipelines using Python and frameworks such as TensorFlow or PyTorch.
• Deploy and maintain scalable model‑serving infrastructure for real‑time and batch predictions.
• Apply MLOps practices to automate testing, deployment, versioning, and monitoring of models.
• Monitor production models for performance drift and data drift, ensuring long‑term reliability.
• Collaborate closely with data scientists to convert prototypes into production‑grade code.

Required profile

• Minimum 4 years of experience in Machine Learning Engineering or Software Engineering.
• Proven track record of delivering ML models to production.
• Strong command of English, both written and spoken.

Required skills

• Python
• TensorFlow
• PyTorch
• MLOps

What we offer

• 100% remote work from any location.
• Competitive compensation in USD or local currency.
• Provided hardware and software for home office.
• Flexible schedule and paid parental leave, vacations, and holidays.
• Mentorship, career growth, and a multicultural environment with the world’s top 1% tech talent.