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Deep Learning developers in Germany - Ayush P.
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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.

Deep Learning developers in Germany - Recep S.
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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.

Deep Learning developers in Germany - Felix F.
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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.

Deep Learning developers in Germany - Alan C.
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Alan C.

Vetted Deep Learning developer in Germany (UTC+1)

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.

Deep Learning developers in Germany - Christian N.
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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.

Deep Learning developers in Germany - Aymeric N.
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Aymeric N.

Vetted Deep Learning developer in Germany (UTC+1)

I am a versatile software engineer with extensive experience in audio, backend, and machine learning technologies. Venturing through the endless maze of tech possibilities, recklessly curious, I craft solutions using the right tools for the job.

Deep Learning developers in Germany - Uzair N.
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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.

Deep Learning developers in Germany - Sukumar R.
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.

Deep Learning developers in Germany - Winfred O.
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.

Deep Learning developers in Germany - Vasco F.
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.

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Why clients hire Deep Learning developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire top software developers in Germany with Arc

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FAQs

Why hire a Deep Learning developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Deep Learning developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Deep Learning developers can help keep your website up-to-date.

How do I hire Deep Learning developers?

To hire a Deep Learning developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Deep Learning developers effectively and efficiently. Hire full-time Deep Learning developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Deep Learning developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Deep Learning developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Deep Learning developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Deep Learning developers?

There are two types of platforms you can hire Deep Learning developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Deep Learning developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Deep Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning developers.

Some factors to consider when you hire Deep Learning developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Deep Learning developers for hire.

How do I write a Deep Learning developer job description?

Writing a good Deep Learning developer job description is crucial in helping you hire Deep Learning developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Deep Learning developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Deep Learning developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Deep Learning developer?

The top five technical skills Deep Learning developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Deep Learning developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Deep Learning developers to keep up with evolving technology and requirements.

What kinds of Deep Learning developers are available for hire through Arc?

You can find a variety of Deep Learning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Deep Learning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Deep Learning developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Deep Learning developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Deep Learning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Deep Learning developers.

Every Deep Learning developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Deep Learning developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Deep Learning developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Deep Learning developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Deep Learning developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Deep Learning developers, you can rest assured that all remote Deep Learning developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Deep Learning developers on Arc?

Arc pre-screens all of our remote Deep Learning developers before we present them to you. As such, all the remote Deep Learning developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Deep Learning developer in 72 hours, or find a full-time Deep Learning developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Deep Learning developers.

How much does a freelance Deep Learning developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Deep Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Deep Learning developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Deep Learning developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Deep Learning developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Deep Learning developers, check out our FAQs page.

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