Hire the Top 2% of
Remote Deep Learning Developers
in Germany

Felix F.

Vetted Deep Learning developer in Germany (UTC+1)

Machine Learning Engineer Developing and Implementing ML solutions, choosing the right technologies and making systems production-ready (clean code, pythonic style, testing). Deploying, scaling and maintaining deep learning systems and microservices (Docker & Kubernetes). Machine Learning and Data Engineering, Test-Driven Development and Continuous Integration (GitHub & Jenkins), building data pipelines. Building reliable and scalable frameworks in Python.

Ayush P.

Vetted Deep Learning developer in Germany (UTC+1)

I am a Senior Backend Engineer at Tier Mobility SE based in Munich, Germany. Before moving to Berlin, I was an Assistant Tech Lead at Adacta Fintech based in Slovenia spearheading the development of insurance solutions for Europe-based companies such as the Sava and DVA Insurance while honing my skills as a full-stack engineer. Before plunging into software development, I was a Machine Learning Engineer at Zemanta, an Outbrain Company where my day-to-day work involved implementing and analyzing the real-time machine algorithms and integrating them with the bidder infrastructure. Before moving to Slovenia, I worked as a Product Engineer at Sprinklr, India where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring frameworks.

Recep S.

Vetted Deep Learning developer in Germany (UTC+1)

Looking for an expert in Machine Learning, Data Science, Computer Vision, GAN, NLP, CHATGPT, GEMINI, Stable Diffusion, PyTorch, TensorFlow, LangChain, LlamaIndex, real-time chatbot agents, customer recommendation systems, churn modeling, dynamic pricing, fraud detection, and image recognition? Let's talk. At Google Brain Team, I was developing the TensorFlow library that is the most popular machine learning library. I love the using TensorFlow because I know the infrastructure very well. I have been working on Artificial Intelligence topics for about 4 years. I 'm following latest papers from AI projects and even have a blog that I review. I have also contributed several various open source AI projects, such as jax, flax, fastai, etc. I have direct experience in the following technologies/topics: ✅ Machine Learning (Deep Learning, Clustering, Classification, Regression, SVM, PCA, KNN, etc) ✅ Computer Vision (Image Classification, Object Detection, Object Tracking, Image Segmentation, GANS, Pix2Pix, StyleGAN, etc.) ✅ Natural Language Processing, (RNN, Transforms, Named-Entity Recognition, Sentiment Analyzing, Summarizing, SOA Models(Bert, GPT, T5)) My toolkit: ✅ TensorFlow (Core, Addons, Datasets, TensorBoard, TFLite), ✅ PyTorch, ✅ Scikit-Learn, ✅ Numpy, ✅ Pandas, ✅Matploblib, ✅ NLTK, ✅OpenCV, ✅Knet.jl, ✅Jax, ✅spaCy, ✅Hugging Face, I love working on challenging topics and it is of immense significance to me personally to develop high-quality software. I am a process-orientated person and most of my customers find it useful to finish tasks effectively.

Christian N.

Vetted Deep Learning developer in Germany (UTC+2)

I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.

Alan C.

Vetted Deep Learning developer in Germany (UTC+2)

Data Scientist, Squad Lead, and Product Stream Driver working in Fintech since 2018. Ph.D. in Physics from TU Dresden/Max Planck Institute. Holder of an MIT MicroMasters in Finance. ML contributor to Mushroom Observer, Inc.

Uzair N.

Vetted Deep Learning developer in Germany (UTC+2)

I am a versatile T-shaped software engineer who is constantly seeking new challenges and opportunities. As a software engineer workstudent at tabya GmbH, I am responsible for developing and designing components for Kontrool, a web application that makes construction site management paperless and painless. I use Angular, TypeScript, and other front-end technologies to create user-friendly and responsive interfaces. Previously, I worked as a front-end software engineer at Zesavi, where I implemented internationalization and developed a dashboard to display impactful metrics across the application. I also have experience in Java Spring, Python, PHP, and other backend languages, as well as research on text mining and natural language processing. My masters in Data Science enabled me to practice and apply Machine learning and AI in different areas and domains. I am passionate about staying up-to-date with the latest technologies and constantly improving my skills to provide the best possible results. I enjoy working with diverse and collaborative teams, as well as taking on independent projects. My goal is to build innovative and impactful solutions for the web that can benefit various domains and industries.

Sukumar R.

Deep Learning developer in Germany (UTC+1)

Seasoned Machine Learning Engineer with 6+ years in AI, specializing in Deep Learning deploying cutting-edge AI solutions that address realworld problems and over decade year of experience in tech. Led the development of ContagionNET, significantly enhancing COVID-19 detection through innovative use of computer vision and deep learning. Expert in a range of technologies including PyTorch, TensorFlow, with a proven track record in improving model explainability and performance in AutoML product. Strong foundation in C++ and Python with experience in server architecture and distributed systems. Have been actively exploring LLMs, Langchain, and vector databases recently.

Vasco F.

Deep Learning developer in Germany (UTC+1)

I am a Senior Data Scientist with experience in developing AI-driven solutions, managing projects, optimizing ML systems, and enhancing campaign ROI. Skilled in Python, ML models, DevOps, and various data analysis tools.

Winfred O.

Deep Learning developer in Germany (UTC+1)

I'm excited about software engineering, artificial intelligence and robotics. My work covers web and mobile projects, from architecting software to continuous integration and deployment. Competencies: Javascript, Python, C++, JS frameworks, DevOps, full-stack web development, chatbots, Android/iOS React-Native applications and cloud serverless computing (AWS Lambda). Outside of work I'm occupied with triathlons, electronics and 3D printing. Mastering new languages(the spoken kind!) are on my daily schedule as well.

David L.

Deep Learning developer in Germany (UTC+1)

🔯 Data Engineer / Reliability Engineer ⚛️ Scalable Data Products ☸️ MLOps ft. Kubernetes * Full-Stack Machine Learning Engineer capable of realising ML projects end-to-end (MLOps, NLP, Time Series, Deep Learning, Explainable AI). * DevOps and Cloud Engineer capable of designing and implementing fully auto-scaling, cloud-native Data Processing Architectures (Kubernetes, Knative, Helm, IaC, DevOps, GitOps). * Designing and building Python based Data Architectures (distributed, parallel, concurrent) in full remote self-organizing Scrum & Kanban teams for 6 years. * Extensive experience with Open-Source Intelligence, Supply Chain Intelligence, and Scientific & Industrial Big Data. * Team-player, mentor, eager to grow, morally ambitious.