Senior Machine Learning Engineer

Job not on LinkedIn

🔥 20 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

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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Look4IT

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.

📋 Description

• Drive and improve MLOps practices across the ML environment • Build and optimize CI/CD pipelines using GitLab • Implement ML experiment tracking and model management with MLflow • Productionize and deploy machine learning models using AWS SageMaker • Design and maintain scalable ML and data pipelines • Develop and maintain Python-based ML and data infrastructure • Implement monitoring and observability for ML systems • Provide technical guidance and mentor Data Scientists, Data Engineers, and MLOps Engineers • Apply software engineering best practices, including testing, documentation, and system design • Collaborate with Product Managers, Data Scientists, Engineers, and business stakeholders • Evaluate and introduce new technologies to improve ML capabilities

🎯 Requirements

• 5+ years of professional experience in Machine Learning Engineering • Strong experience deploying and maintaining production ML systems • Expert-level Python skills and knowledge of the data science ecosystem • Hands-on experience with AWS, preferably AWS SageMaker • Strong knowledge of MLOps practices and lifecycle • Practical experience with MLflow • Experience with GitLab CI/CD • Experience with at least one major deep learning framework, e.g. PyTorch or TensorFlow • Experience designing and building scalable ML and data pipelines • Experience with ML system monitoring and observability • Ability to design, document, and communicate complex technical architectures • Experience mentoring and providing technical guidance to other engineers and data scientists • Strong communication and stakeholder management skills • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience • Preferred: Master's or PhD in Computer Science, AI, or Machine Learning • Preferred: Experience with Prometheus, Grafana, or Evidently AI • Preferred: Experience working with large-scale recommender systems • Preferred: Strong understanding of software engineering and system design principles

🏖️ Benefits

• B2B contract • Engagement in technically challenging projects with a mature engineering culture • Friendly and collaborative work environment • Opportunities to work with modern technologies and enterprise-scale infrastructure • Supportive team culture focused on knowledge sharing and professional growth