BairesDev

BairesDev

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7 días
Expira 20/03/2026

Machine Learning Engineer - Remote Work

Machine Learning Engineer - Remote Work

About BairesDev®

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 Team

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

Your Career Path

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.

Role Overview

Machine Learning Engineer at BairesDev

The core challenge of this role is working with state-of-the-art models, optimizing inference and large-scale deployments, and making LLMs and Transformers run reliably in production with high quality, strong performance, and controlled costs. Your impact will be direct: you'll design and operate solutions that power key products, handling large datasets and demanding requirements.

What You'll Do:

  • Design, train, and fine-tune NLP and LLM models.
  • Build and operate production inference services.
  • Implement MLOps to ensure quality and lifecycle management.

What We Are Looking For:

  • 3+ years of experience delivering end-to-end NLP and LLM solutions.
  • Strong command of bidirectional Transformer models such as BERT, ALBERT, and RoBERTa.
  • Experience with fine-tuning, LoRA, quantization, distillation, and model evaluation.
  • Experience with LLMs in production, including prompting, structured outputs (JSON schema), RAG (FAISS/Milvus), batch and async inference, and cost/latency monitoring.
  • Strong experience in AWS, including SageMaker, ECS, S3, Glue, Lambda, Step Functions, and CDK for IaC, or similar services in Azure/GCP.
  • Experience with PyTorch or TensorFlow, PySpark, scikit-learn, pandas, and NumPy.
  • Experience building production-grade APIs with FastAPI or Flask for real-time inference.
  • Solid experience in MLOps, including MLflow/W&B, CI/CD, model registry, drift monitoring, and canary/shadow deployments.
  • Advanced knowledge of SQL databases, data lakes, and search engines such as OpenSearch or Elasticsearch.
  • Advanced proficiency in English.

How We Support You:

  • 100% remote - work from anywhere.
  • Excellent compensation in USD or your local currency if preferred.
  • Flexible hours - make your schedule.
  • Paid parental leave, vacation, & national holidays.
  • Innovative and multicultural work environment.
  • Collaborate and learn from the global Top 1% of talent in each area.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join Us

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