Machine Learning Engineer | Remote Work | Campinas, Brazil

BairesDev; Campinas; Híbrido; BRL 180 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote 100%

USD or local currency compensation

Flexible hours

Parental leave

Vacation & holidays

Globally distributed team

Mentorship & growth opportunities

Resumo da oferta

BairesDev is seeking a Machine Learning Engineer to design, train, and deploy NLP/LLM models, scaling inference in production and handling large datasets. You will work with state-of-the-art transformers and build robust services that power core products.

The role emphasizes MLOps, cloud platforms, and building production-grade APIs with FastAPI or Flask, while collaborating with a global Top 1% talent pool in a 100% remote environment.

Qualificações

• 3+ years delivering end-to-end NLP/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 (training, endpoints), ECS (GPU instances), 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.

Responsabilidades

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

Conhecimentos

NLP/LLM end-to-end

Transformer models

Fine-tuning LoRA quantization

LLMs in production

AWS SageMaker

PyTorch/TensorFlow

FastAPI/Flask

MLOps MLflow/W&B

CI/CD

SQL/Data lakes/OpenSearch/Elastics

English proficiency

Ferramentas

SageMaker

ECS

S3

Glue

Lambda

Step Functions

CDK

PyTorch

TensorFlow

OpenSearch

Elasticsearch

Descrição da oferta de emprego

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 diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

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.

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 (training, endpoints), ECS (GPU instances), 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 make your work (and your life) easier:

• 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 a global team where your unique talents can truly thrive and make a significant impact!