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Machine Learning Engineer (Remote)

BairesDev

New Remote
Remote Senior 🇬🇧 English
Python PySpark Databricks MLflow AWS FastAPI Transformers LLM NLP tokenization embeddings semantic search RAG classification regression ranking forecasting segmentation anomaly detection explainability CI/CD monitoring drift detection cost optimization

Job description

About the role

BairesDev is seeking a senior Machine Learning Engineer to design and deliver end‑to‑end AI solutions, including NLP, large language models and agentic AI, for high‑impact products. You will work remotely with a global team of top‑tier technologists, turning business problems into reliable, cost‑controlled production systems.

Key responsibilities

  • Co‑define AI solutions with product, engineering and data stakeholders, translating objectives into measurable metrics.
  • Build data pipelines and feature‑engineering workflows using Python, PySpark and Databricks.
  • Develop, train, evaluate and maintain traditional ML models and advanced NLP/LLM solutions (Transformers, embeddings, RAG, structured outputs).
  • Design agentic workflows that connect LLMs with tools, APIs, retrieval systems and business rules, ensuring safety and observability.
  • Package, deploy, monitor and retrain models on Databricks/MLflow and AWS, exposing FastAPI services for real‑time, batch and asynchronous workloads.

Required profile

  • 7+ years of experience delivering end‑to‑end ML, NLP and LLM solutions from problem definition to production.
  • Deep expertise in NLP, text intelligence and LLM techniques (tokenization, embeddings, semantic search, hallucination mitigation, etc.).
  • Strong background in traditional ML models (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability).
  • Proven MLOps experience with Databricks, MLflow and AWS, including CI/CD, monitoring, drift detection and cost optimization.
  • Advanced proficiency in English.

Required skills

  • Python
  • PySpark
  • Databricks
  • MLflow
  • AWS
  • FastAPI
  • Transformers / LLMs
  • NLP techniques (tokenization, embeddings, semantic search, RAG)
  • Traditional ML algorithms (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability)
  • Agentic AI workflow design
  • CI/CD, monitoring, drift detection, cost optimization

What we offer

  • 100% remote work from anywhere
  • Competitive compensation in USD or local currency
  • Hardware and software setup support

Questions fréquentes

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Published 4 days ago

Expires 1 month from now

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