AI Engineer (m/f/x)

In-Office

Share

Apply

Share

Apply

Overview

This job is for you if you're passionate about pioneering the future of artificial intelligence. As an AI Software Engineer, you'll spearhead the development of cutting-edge machine learning algorithms, focusing on tasks like sentiment analysis, text classification, and named entity recognition. Your expertise in deep learning frameworks like TensorFlow and proficiency in Python programming are essential for building and training models that redefine human-computer interaction. If you're ready to deploy these models into production environments, integrate them seamlessly with existing systems, and document your innovative solutions, then join us in shaping the tech landscape of tomorrow.

Details

Tasks & Responsibilities:

•  Design and implement cutting-edge machine learning algorithms and models to address NLP tasks such as sentiment analysis, text classification, and named entity recognition.
•  Collaborate with the development team and DevOps specialists to deploy and integrate models into our platform, ensuring seamless operation and scalability.
•  Conduct data analysis to gain insights and identify opportunities for AI-driven solutions, preparing datasets and performing data preprocessing as needed.
•  Document code, models, and processes thoroughly to maintain transparency, facilitate collaboration, and ensure reproducibility.
•  Stay current with the latest advancements in AI and NLP, continually refining and improving our approach to machine learning.
•  Work closely with stakeholders to understand requirements, prioritize tasks, and deliver solutions that meet business objectives.

Minimum Requirements:

•  Deep Learning Proficiency: Mastery of deep learning frameworks, particularly TensorFlow, with hands-on experience in building and training models for various natural language processing tasks.
•  Sequence-to-Sequence Learning: Solid understanding and practical experience with models such as TFGPT2LMHeadModel for sequence-to-sequence learning, particularly suited for developing conversational AI systems like chatbots.
•  Text Classification Expertise: Proficiency in building text classification models for tasks such as product categorization, leveraging large-scale datasets.
•  Python Programming Skills: Strong proficiency in Python programming language, essential for implementing machine learning algorithms, data manipulation, and model deployment.

Additional Requirements:

•  Natural Language Processing Skills: Familiarity with NLP techniques and algorithms, including sentiment analysis, named entity recognition, and semantic understanding, to enhance the capabilities of chatbots and text classification models.
•  Data Preprocessing Engineering: Ability to preprocess and transform raw text data into suitable formats for model training.
•  Model Evaluation and Optimization: Experience in evaluating model performance using appropriate metrics and techniques.
•  Deployment Expertise: Knowledge of deploying machine learning models into production environments, including integration with existing systems and platforms to enable seamless operation and scalability.

Desired Qualifications:

•  Advanced Model Architectures: Proficiency in developing and implementing advanced neural network architectures beyond basic models, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), or transformer models.
•  Experience with Large-Scale Data Processing: Knowledge of distributed computing frameworks such as Apache Spark, and experience in handling and processing large-scale datasets efficiently for training machine learning models.
•  Natural Language Generation Expertise: Ability to design and implement natural language generation models to generate human-like text or narratives based on structured or unstructured data.
About payever

About payever

Founded in 2013 in Hamburg, Germany 🇩🇪 - payever's mission is to challenge this status quo on behalf of small and medium sized businesses against the commerce giants. We do so by providing the right tools for sellers of any size to start, run and grow a successful business: We offer online shop as well as point of sale systems and highly flexible and customized payment, marketing, shipping and communication solutions. We start where others stop with the ultimate goal to free commerce.

We already convinced Santander and Microsoft to join our mission and help us to empower over 5.000 businesses in Germany, Sweden, Denmark and Norway to compete against existing marketplaces. We’re now 10 years old, but we’re hungry like it’s Day One - we still have the same big dreams and are looking for your help to achieve them! 

Sound exciting? We think so too, and we can’t wait to hear from you!

Video

About This Department

Checkout Solutions

Build amazing things - wherever you are.

For over a decade, we’ve been fine-tuning our platform to make it fast, scalable, and rock-solid. Today, it powers 30+ custom-built solutions, connects with 50+ third-party integrations, and runs on the expertise of 60+ engineers worldwide.

How We Work

We keep things fast, flexible, and remote-friendly, using modern tools to keep our workflow smooth:

•

MEAN Stack — MongoDB, Express.js, Angular, and Node.js power our platform.

•

Latest AI tools — We leverage AI, including Cursor, to streamline development.

•

Asynchronous communication — No unnecessary calls or meetings! Just clear, focused collaboration via Telegram.

•

Automated workflows — Our CI/CD pipelines run on Azure to ensure seamless deployments.

•

Structured support — Every developer works with a Project Manager, Manual QA Specialist, and a Technical Reviewer for guidance.

•

Organized knowledge sharing — Confluence for documentation, JIRA for ticketing.

Company Facts

Checkout Solutions

Insights

© payever. All rights reserved.

English (United Kingdom)