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!