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Machine Learning Engineer
hace 1 mes
Machine Learning Engineer at BairesDev
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.
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.
Requirements
- 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.
Benefits
- 100% remote – work from anywhere.
- Excellent compensation in USD or your local currency if preferred.
- Paid parental leave, vacation, and 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.
Job Details
- Seniority level: Mid‑Senior level
- Employment type: Full‑time
- Job function: Information Technology
- Industries: IT Services and IT Consulting
Join a global team where your unique talents can truly thrive and make a significant impact
Apply now
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