Machine Learning Engineer - Remote Work

BairesDev

Rio de Janeiro

Teletrabalho

BRL 382 722 - 546 747

Tempo integral

14 dias+

Gerador de candidaturas

Turn this role into an interview — a resume and cover letter built around what this employer wants.

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Vantagens oferecidas por esta oferta de emprego

Excellent compensation in USD

Flexible hours

Paid parental leave

Innovative work environment

Resumo da oferta

A tech leader in remote solutions offers an opportunity for a Machine Learning Engineer to design and implement state-of-the-art models. You will work remotely, optimizing large-scale deployments and making LLMs run reliably in production. The ideal candidate has over 3 years of experience in NLP and LLM delivery, proficiency in AWS and Python frameworks, and a solid understanding of MLOps practices. Join a multicultural team, flexible hours, and growth opportunities in a supportive environment.

Qualificações

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, and model evaluation.

Responsabilidades

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

Conhecimentos

NLP and LLM solutions

Bidirectional Transformer models

AWS services

PyTorch

Flask

SQL databases

Ferramentas

TensorFlow

MLflow

FastAPI

Descrição da oferta de emprego

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