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Machine Learning Engineer – Remote

BairesDev

Remote
Remote Senior 🇬🇧 English
Python PySpark Databricks MLflow AWS FastAPI Transformers Embeddings RAG Tokenization Classification Regression Ranking Forecasting Segmentation Anomaly detection Explainability CI/CD 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, LLM and agentic systems, for high‑impact products. You will work remotely with a global team, turning business problems into reliable, production‑grade models.

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, including safety checks and observability.
  • 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 delivering end‑to‑end ML, NLP, LLM and agentic AI solutions.
  • Deep expertise in NLP, text intelligence and LLM techniques (tokenization, embeddings, semantic search, RAG, hallucination mitigation).
  • Strong background in traditional ML (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability).
  • Proven experience designing multi‑step agentic AI workflows with memory management and human‑in‑the‑loop review.
  • Extensive MLOps experience on Databricks/MLflow and AWS, covering CI/CD, monitoring, drift detection and cost optimization.
  • Advanced proficiency in English.

Required skills

  • Python
  • PySpark
  • Databricks
  • MLflow
  • AWS
  • FastAPI
  • Transformers
  • Embeddings
  • RAG (Retrieval‑Augmented Generation)
  • Tokenization
  • Classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability
  • CI/CD pipelines
  • Model monitoring and drift detection
  • Cost optimization for AI workloads

What we offer

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

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Published 2 months ago

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