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: 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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i1x

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

📣 Marketing

💼 Consulting

🏢 Enterprise

Marketing • Consulting • Enterprise

i1x is a venture studio on a mission to disrupt the B2B sector and create a new generation of industry leaders. By focusing on advanced technologies and adopting a 'camel' philosophy, i1x helps entrepreneurs with bold visions navigate the challenges of growth to achieve long-term success. The company aims to redefine possibilities in underserved markets with innovation, ethics, and scalability.

📋 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