Machine Learning Engineer – Remote Work
At BairesDev®, we have been leading the way in technology projects for over 15 years, delivering 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 and drives significant impact worldwide.
As a remote Machine Learning Engineer, you will focus on 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.
What You’ll Do
- Design, train, and fine‑tune NLP and LLM models.
- Build and operate production inference services.
- Implement MLOps practices to ensure quality and lifecycle management.
What We’re 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 (SageMaker, ECS, S3, Glue, Lambda, Step Functions, CDK) 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 MLOps experience, 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 Make Your Work (and Your Life) Easier
- 100% remote – work from anywhere.
- Excellent compensation in USD or local currency if preferred.
- Flexible hours – make your schedule.
- Paid parental leave, vacation, and national holidays.
- Innovative, multicultural work environment.
- Collaborate and learn from the global Top 1% talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Seniority Level
Employment Type
Job Function
- Information Technology
- IT Services and IT Consulting
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