MLOps Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fetcherr

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

✈️ Travel

🤖 Artificial Intelligence

Logistics • Travel • Artificial Intelligence

Fetcherr is at the forefront of AI-driven solutions for the airline industry. Founded in 2019, the company specializes in dynamic pricing and market forecasting through its core product, the Generative Pricing Engine (GPE). Utilizing the Large Market Model (LMM), Fetcherr optimizes revenue and operational efficiency by simulating market dynamics and allowing real-time adjustments across various operational aspects. With partnerships with airline giants like Virgin Atlantic, WestJet, Azul, and Viva Aerobus, Fetcherr enhances the airline's decision-making capabilities and profitability through significant revenue generation uplift.

📋 Description

• Build and maintain models and data pipelines powering data science workflows • Ensure accuracy, consistency, and efficiency of data used for model training and inference • Work with structured and unstructured data from various sources • Leverage data engineering and machine learning expertise to create robust, scalable systems • Help grow the technical team's capabilities • Contribute to impactful AI systems that redefine how industries price, forecast, and optimize

🎯 Requirements

• BSc or Master's degree in Computer Science, Math, or Engineering • At least 5 years of commercial experience in Python • At least 3 years of hands-on commercial MLOps experience • Experience with pipeline orchestrators such as Dagster or Airflow • Experience with distributed computing systems • Experience with Docker and Kubernetes or other scalable containerized solutions • Commercial experience writing and maintaining scalable ML systems • Fluent in English, both written and spoken • Team player, ready to help others • Good understanding of Data Structures and Algorithms • Proactive with tasks, often suggesting different or better ideas • Aviation industry experience is a plus

🏖️ Benefits

• Remote/hybrid work arrangement • Full-time employment