Machine Learning Engineer - Remote Work role at BairesDev
BairesDev has been leading technology projects for over 15 years, delivering cutting‑edge solutions to giants such as Google and innovative startups in Silicon Valley.
Responsibilities
- Design, train, and fine‑tune NLP and LLM models.
- Build and operate production inference services.
- Implement MLOps pipelines to ensure quality, lifecycle management, and low latency.
- Optimize inference performance and control costs for large‑scale deployments.
Qualifications
- 3+ years of experience delivering end‑to‑end NLP and LLM solutions.
- Strong knowledge of bidirectional Transformer models (BERT, ALBERT, RoBERTa).
- Proficiency with fine‑tuning, LoRA, quantization, distillation, and model evaluation.
- Experience deploying LLMs in production with prompting, structured outputs (JSON schema), RAG (FAISS/Milvus), batch and async inference, and cost/latency monitoring.
- Hands‑on experience with AWS services (SageMaker, ECS, S3, Glue, Lambda, Step Functions, CDK) or equivalent on Azure/GCP.
- Background in 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 with MLflow/W&B, CI/CD, model registry, drift monitoring, and canary/shadow deployment.
- Advanced knowledge of SQL databases, data lakes, and search engines such as OpenSearch or Elasticsearch.
- Advanced proficiency in English.
Benefits
- 100% remote – work from anywhere.
- Competitive compensation in USD or local currency.
- Flexible hours and paid time off, including parental leave and national holidays.
- Innovative and multicultural work environment.
- Collaboration with top‑tier global talent and mentorship.
- Opportunities for career growth, promotions, and skill development.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
Apply now
Join a global team where your unique talents can truly thrive and make a significant impact.