Machine Learning Engineer - Remote Work

BairesDev; São Paulo; Teletrabalho; BRL 377 155 - 592 672; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

Competitive compensation in USD or local currency

Flexible hours and paid time off

Resumo da oferta

A leading technology solutions provider is looking for a Machine Learning Engineer for a fully remote position. The successful candidate will design and fine-tune NLP and LLM models, build production inference services, and implement MLOps pipelines. Candidates must have at least 3 years of experience with NLP and LLM solutions, strong knowledge of Transformer models, and hands-on experience with AWS services. The role offers competitive compensation, flexible hours, and opportunities for growth in a multicultural environment.

Qualificações

• 3+ years of experience delivering end-to-end NLP and LLM solutions.
• Proficiency with fine-tuning, LoRA, quantization, distillation, and model evaluation.
• Experience deploying LLMs in production with cost/latency monitoring.

Responsabilidades

• Design, train, and fine-tune NLP and LLM models.
• Build and operate production inference services.
• Implement MLOps pipelines to control costs for large-scale deployments.

Conhecimentos

NLP and LLM solutions experience

Bidirectional Transformer models (BERT, ALBERT, RoBERTa)

MLOps experience with MLflow/W&B

Production-grade API development with FastAPI or Flask

Advanced proficiency in English

Ferramentas

AWS services (SageMaker, ECS, S3)

PyTorch or TensorFlow

SQL databases, OpenSearch or Elasticsearch

Descrição da oferta de emprego

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

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