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Vetted TensorFlow 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.
Vetted TensorFlow 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.
Vetted TensorFlow developer in Germany (UTC+1)
I am a Data Scientist with a strong background in statistics, software development, data engineering and machine learning. Throughout my career, I have worked with large and complex datasets and taken machine learning projects from conception through to the deployment of operational AI models, showcasing my ability to transform concepts into tangible, impactful solutions. I completed various end-to-end Data Science projects, including the development of an AI matching system for a recruiting startup to automatically find suitable vacancies for candidates and an AI for similiarity analysis of products purchased by a german automobile manufacturer with potential savings of over €100 million per year. I also designed and implemented cloud architectures with automated ETL processes, optimized data models and dashboards for clients from different industries. My educational background includes a masters degree in mathematics and computer science, an apprenticeship as a software developer and certificates for many technologies.
Vetted TensorFlow 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.
Vetted TensorFlow developer in Germany (UTC+1)
Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.
Vetted TensorFlow developer in Germany (UTC+2)
I'm a fellow of ML/Data as a product applications. Besides all of the tools, I give much importance to business domain knowledge and data-driven mindset.
Vetted TensorFlow developer in Germany (UTC+2)
Full-stack developer with over 6 years of experience in backend and frontend development. Expert in technologies such as Django, Laravel, MERN Stack, AWS, and blockchain. Successfully developed a payment system app with a million active users at Moore Global. Supervised major projects and led a team of 20 specialists. Skilled in automation and scraping using Puppeteer and Playwright. I am seeking a full-stack developer position at a company where I can leverage my backend, frontend, DevOps, and automation skills.
TensorFlow developer in Germany (UTC+1)
I am an AI/Machine Learning Engineer with experience in designing and implementing rover systems, leading AI projects, and deploying models on NVIDIA Jetson devices. I have also worked as a Software Engineer and Application Engineer, showcasing expertise in developing CNN models, hosting Django servers, and optimizing system performance. My educational background includes a Master's in Information Technology and a Bachelor's in Engineering, with coursework in Deep Learning, Machine Learning, and Robotics. My skills include Python, C++, TensorFlow, OpenCV, and Linux.
TensorFlow developer in Germany (UTC+1)
An experienced Full stack web developer with passion for data and AI development.
TensorFlow developer in Germany (UTC+1)
A versatile engineer, with an entrepreneurial mindset, striving to harness technological tools to deliver smart, ethical and functional solutions, by means of AI, autonomous systems, mechanical and sustainable design.
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Ready to hire your ideal TensorFlow developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance TensorFlow developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 TensorFlow 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 TensorFlow developers can help keep your website up-to-date.
To hire a TensorFlow 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 TensorFlow developers effectively and efficiently. Hire full-time TensorFlow 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 TensorFlow 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 TensorFlow 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 TensorFlow developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire TensorFlow 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 TensorFlow 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 TensorFlow developers, consider niche platforms like Arc that naturally attract and carefully vet their TensorFlow developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote TensorFlow developers.
Some factors to consider when you hire TensorFlow 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 TensorFlow developers for hire.
Writing a good TensorFlow developer job description is crucial in helping you hire TensorFlow 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 TensorFlow 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 TensorFlow developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills TensorFlow 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 TensorFlow 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 TensorFlow developers to keep up with evolving technology and requirements.
You can find a variety of TensorFlow developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance TensorFlow developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote TensorFlow 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 TensorFlow developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled TensorFlow developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire TensorFlow developers.
Every TensorFlow 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 TensorFlow 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted TensorFlow 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 TensorFlow 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 TensorFlow developers, you can rest assured that all remote TensorFlow developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote TensorFlow developers before we present them to you. As such, all the remote TensorFlow 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 TensorFlow developer in 72 hours, or find a full-time TensorFlow 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 TensorFlow developers.
Depending on the freelance developer job board you use, freelance remote TensorFlow developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find TensorFlow 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 TensorFlow 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.
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 TensorFlow 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 TensorFlow developers, check out our FAQs page.