AI Engineer

Job not on LinkedIn

🕒 March 31

🇵🇱 Poland – Remote

💵 $30k - $70k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 54%

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.

Apply Now

Find Similar Remote Jobs

Vezér Group

WebsiteAll Job Openings

- employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Vezér Group is an AI-focused engineering team/company that develops and integrates machine learning and AI solutions for a SaaS platform. The company designs AI systems, trains models on large datasets, implements end-to-end pipelines (data collection, feature engineering, model training), and deploys models at scale on cloud infrastructure such as AWS. Vezér Group collaborates closely with engineering, product, and data teams to align AI features with business objectives, monitors and iterates on models in production for performance and reliability, and stays current with advances in machine learning and deep learning.

📋 Description

• Work closely with the engineering, product, and data teams to integrate machine learning models and AI-powered features into the platform. • Design AI systems, training models, and deploying them at scale on cloud infrastructure. • Collaborate with product managers and stakeholders to identify AI opportunities that align with business objectives. • Collect, preprocess, and analyze large datasets to build and train machine learning models. • Implement end-to-end pipelines for deploying AI models, including data collection, feature engineering, model training, and production deployment. • Continuously improve the performance and accuracy of existing models by monitoring them in production and iterating based on user feedback and new data. • Ensure the scalability and reliability of AI systems by optimizing them for performance on cloud platforms such as AWS. • Stay up to date with the latest research and trends in machine learning, deep learning, and AI.

🎯 Requirements

• 3+ years of experience as an AI/Machine Learning Engineer, Data Scientist, or a related role. • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Proven experience designing, training, and deploying machine learning models in a production environment. • Solid understanding of data structures, algorithms, and statistical methods. • Experience with natural language processing (NLP), computer vision, or deep learning models. • Proficiency in Python and familiarity with other programming languages (e.g., Java, C++). • Experience with cloud platforms like AWS, GCP, or Azure, and deploying AI solutions in a cloud-native environment. • Experience with MLOps best practices, including version control, automated testing, and CI/CD pipelines for machine learning models. • Strong analytical and problem-solving skills, with an ability to work through ambiguity and adapt to a fast-paced startup environment.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities

📊 Check your resume score for this job

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

Upload Resume