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Machine Learning Engineer (Remote)

BairesDev

Remote
Remote Senior 🇬🇧 English
Python PySpark Databricks MLflow AWS FastAPI Transformers Tokenization Embeddings Semantic Search Function/Tool Calling Guardrails Hallucination Mitigation Classification Regression Ranking Forecasting Segmentation Anomaly Detection Explainability CI/CD Drift Detection Cost Optimization

Description du poste

About the role

Join BairesDev as a Machine Learning Engineer and lead the design, development, and production deployment of cutting‑edge ML, NLP, LLM, and agentic AI solutions. You will work remotely with a global team, turning complex business problems into reliable, high‑performance AI products.

Key responsibilities

  • Co‑define AI solutions with product, engineering, and data stakeholders, translating business goals into measurable metrics.
  • Build data pipelines and feature‑engineering workflows using Python, PySpark, and Databricks for training, evaluation, batch scoring, and online inference.
  • Develop, train, evaluate, and maintain traditional ML models and advanced NLP/LLM solutions, including Transformers, embeddings, RAG, and structured outputs.
  • Design agentic workflows that connect LLMs with tools, APIs, retrieval systems, and business rules, ensuring safety, observability, and human‑in‑the‑loop review.
  • 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 end‑to‑end experience delivering ML, NLP, LLM, and agentic AI solutions.
  • Deep expertise in NLP, text intelligence, and LLM techniques such as tokenization, embeddings, semantic search, RAG, and hallucination mitigation.
  • Strong background in traditional ML models (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability).
  • Proven production 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
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Tokenization
  • Embeddings
  • Semantic Search
  • Retrieval‑Augmented Generation (RAG)
  • Structured Output Generation
  • Function/Tool Calling
  • Guardrails
  • Hallucination Mitigation
  • Classification
  • Regression
  • Ranking
  • Forecasting
  • Segmentation
  • Anomaly Detection
  • Explainability
  • Agentic AI Workflow Design
  • API Integration
  • CI/CD
  • Model Monitoring
  • Drift Detection
  • Cost Optimization

What we offer

  • 100% remote work from anywhere
  • Competitive compensation in USD or local currency
  • Full hardware and software setup for optimal productivity

Questions fréquentes

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