Senior Machine Learning Engineer

Job not on LinkedIn

🕒 September 18

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.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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Sowelo Consulting sp. z o.o. sp. k.

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Sowelo Consulting sp. z o. o. sp. k. is a recruitment consulting firm based in Krakow, Poland, established in 2007. It specializes in providing tailored recruitment solutions including Recruitment Process Outsourcing (RPO), Executive Search, and IT Contracting across various sectors such as IT/Telco, Renewable Energy, and Finance. The company offers services like Talent Market Mapping, Recruitment Process Assessment, and Employer Branding to enhance recruitment efficiency and attract potential employees, clients, and investors. With a large database and a focus on strategic recruitment consulting, Sowelo Consulting helps businesses find skilled professionals to enhance their workforce.

📋 Description

• Design and build core machine learning systems for a proactive AI platform • Own projects end-to-end, including data curation, model training, evaluation, inference, and continuous iteration • Translate research concepts into robust, reliable production systems • Use live production signals and data to troubleshoot model anomalies and system bottlenecks • Deploy systems, analyze real-world performance metrics, refine approaches, and iterate rapidly • Collaborate with research, engineering, and product teams to connect technical milestones with user value • Mentor fellow engineers and conduct rigorous code and technical reviews • Optimize model architectures for latency, computational cost, reliability, and safety at scale

🎯 Requirements

• Minimum of 5 years of experience in a Machine Learning role • Experience with Python • Experience with PyTorch and/or JAX • Experience with GPU-based training and inference systems • Demonstrated experience building, deploying, and maintaining machine learning systems used in real-world environments • Strong practical understanding of modern ML model behavior and failure modes in production • Ability to mitigate production edge cases • Track record of writing clean, robust, production-grade code • Architectural mindset beyond simple scripting • High degree of self-direction and initiative • Proven ability to independently drive complex technical initiatives from concept to launch • Ability to rapidly absorb new concepts • Ability to communicate technical trade-offs clearly • Ability to continuously improve code and systems through iterative feedback loops

🏖️ Benefits

• Fully remote work • Significant equity • High compensation flexibility • Strong ownership and visible impact • Mentorship and collaboration with high-caliber engineers • Greenfield product development opportunity

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