Senior Machine Learning Engineer

Job not on LinkedIn

🕒 September 3

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 30%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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, forward-looking AI platform • Own projects end-to-end, from data curation and model training through evaluation, inference, and continuous iteration • Translate cutting-edge research concepts into robust, highly 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 • Partner with research, engineering, and product teams to translate technical milestones into user value • Mentor fellow engineers and conduct rigorous code and technical reviews • Set a high standard for technical judgment through hands-on execution • Optimize model architectures for latency, computational cost, reliability, and safety at massive scale

🎯 Requirements

• Minimum of 5 years 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 actively used in real-world environments • Strong practical understanding of how modern ML models behave and fail in live 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 absorb new concepts rapidly • Ability to communicate technical trade-offs clearly • Ability to continuously improve code and systems through iterative feedback loops

🏖️ Benefits

• Fully remote work • Global team • Strong ownership and visible impact • Significant equity • High compensation flexibility • Small founding team building a greenfield AI email product from scratch • High-caliber engineers from top tech companies • Very high technical bar