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Machine Learning Engineer (Remote)

BairesDev

Remote
Remote Senior 🇬🇧 English
Python PySpark Databricks MLflow AWS FastAPI Transformers LLM NLP Tokenization Embeddings Semantic Search RAG Structured Outputs Guardrails Hallucination Mitigation Classification Regression Ranking Forecasting Segmentation Anomaly Detection Explainability Agentic AI APIs CI/CD Monitoring Drift Detection Cost Optimization

Descripcion del puesto

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. You will work remotely with a global team, turning business problems into production‑ready models that run reliably on Databricks, MLflow and AWS.

Key responsibilities

  • Co‑define ML, NLP and agentic AI solutions with product, engineering and data stakeholders.
  • Build data pipelines and feature‑engineering workflows using Python, PySpark and Databricks.
  • Develop, train, evaluate and maintain traditional ML models and advanced LLM/NLP solutions.
  • Design agent workflows that connect LLMs with tools, APIs, retrieval systems and business rules.
  • Package, deploy, monitor and retrain models on Databricks/MLflow and AWS, exposing FastAPI services for real‑time, batch and async workloads.

Required profile

  • 7+ years of experience delivering end‑to‑end machine‑learning, NLP and LLM solutions.
  • Strong expertise in NLP, text intelligence and LLM techniques (tokenization, embeddings, semantic search, RAG, structured outputs, function calling, guardrails, hallucination mitigation).
  • Hands‑on experience with traditional ML models (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability).
  • Proven production MLOps experience with Databricks, MLflow and AWS (model packaging, CI/CD, monitoring, drift detection, cost optimization).
  • Advanced proficiency in English.

Required skills

  • Python
  • PySpark
  • Databricks
  • MLflow
  • AWS
  • FastAPI
  • Transformers
  • Large Language Models (LLM)
  • Natural Language Processing (NLP)
  • Tokenization
  • Embeddings
  • Semantic Search
  • Retrieval‑Augmented Generation (RAG)
  • Structured Outputs
  • Function/Tool Calling
  • Guardrails & Hallucination Mitigation
  • Classification, Regression, Ranking, Forecasting, Segmentation, Anomaly Detection, Explainability
  • Agentic AI Workflows
  • APIs Integration
  • 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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Publicado hace 2 meses

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