AI Engineer (m/f/x) in payever

We just opened a new remote full-time freelancing position as an AI Engineer inside our German Fintech company, founded 2013 and powering over 5.000 businesses in 9 European countries.Our “payever CommerceOS” runs 28 business solutions including Online Shop, Payment System, Messaging and Marketing to help businesses to start, run and grow. WHY JOIN US?Work remotely long term with usEarn a great salary in USDReceive securely payment as a freelancer from a German companyGrow professionallyHOW TO GET THIS JOB1. Click on “Apply”2. Book an Assessment3. Excel at the Tasks4. Get a Contract (within 24h)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. Show more Show less Тип зайнятості Повний робочий день