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Recommender Systems 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.
Recommender Systems 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.
Recommender Systems developer in Germany (UTC+2)
Senior Data/Machine Learning Scientist with a strong foundation in scientific research and extensive experience applying machine learning in the business industry. Proven expertise in leading end-to-end projects, building scalable ML systems (including MLOps), and driving impactful business solutions through predictive analytics. Specializes in research, explainable AI and Bayesian modeling, with proficiency in different ML frameworks. Recognized for innovative problem-solving and fast learning.
Vetted Recommender Systems developer in Germany (UTC+1)
Hello, my name is Eduard, i am an embedded software engineer with over 20 years experience. I am working as a freelancer and participated in lot of projects in different branches ( automotive, industry, energy). By sharing my knowledges and experience I would like to help you to become a good embedded software engineer, who will develope useful, efficient and safe systems.
Vetted Recommender Systems developer in Germany (UTC+1)
An analytical and resourceful professional with extensive experience in designing, implementing, and maintaining resilient and scalable systems. Throughout my career, I have developed solid skills and achieved out-of-the-box results for our shareholders and stakeholders. · Repeated success in deploying monitoring and alerting solutions, conducting root cause analysis, and deploying proactive measures to prevent service disruptions. · Prudent in spearheading execution of robust monitoring systems to identify potential issues and minimise downtime. · Astute in improving reliability, performance, and efficiency of cloud-based infrastructure and services. · Visionary leader with proven expertise in leading, mentoring, and coordinating staff, through effective management of organizational diversity. My areas of expertise include: ● Cloud Infrastructure Management ● Automate Deployment & Orchestration ● Performance Monitoring & Optimisation ● Continuous Integration/Deployment (CI/CD) ● Incident Response & Resolution ● Scalability Planning & Execution ● Infrastructure as a Service (IaaS) ● Policies & Procedures Compliance ● Network Architecture ● Project Management ● Agile Methodologies ● Effective Communication
Vetted Recommender Systems developer in Germany (UTC-8)
Results-driven Senior Software Engineer with over 10 years of experience in developing high-loaded, fail-safe systems, specializing in Java, SQL, and Web Technologies. Proven expertise in migrating legacy services, leading teams, and delivering effective solutions for payment gateways, ESB, and web services. Adept at working independently and collaboratively, with strong communication and leadership skills.
Vetted Recommender Systems developer in Germany (UTC+1)
I am a Senior Software Engineer with expertise in Python, team leadership, system architecture design, backend development, cloud infrastructure, and various technologies. I have experience in leading cross-domain agile teams and developing cloud-native microservices.
Vetted Recommender Systems developer in Germany (UTC+1)
Experienced Full-Stack Developer with over 16 years of experience in Java, Spring Boot, and modern web development (React, Angular). Proven expertise in the banking, textile, and automotive industries. Competent in the development and implementation of complex solutions and the integration of state-of-the-art technologies.
Vetted Recommender Systems developer in Germany (UTC+2)
Experienced Data Engineer with a proven track record of creating and optimizing data platforms, pipelines, and warehouses. Proficient in open-source technologies. Adept in designing and implementing data models and architectures, I successfully transformed a data lake into a structured warehouse at eBay Turkey. My expertise spans AI, machine learning, and parallel processing, contributing to the deployment of ML models for actionable insights. Skilled in GCP, Terraform, and CI/CD pipelines. Passionate about data governance, security, and compliance. Fluent in English and Turkish.
Recommender Systems developer in Germany (UTC+2)
I have extensive experience as a Principal Developer in various tech companies, leading projects in autonomous vehicles, software integration, and system engineering. My skills include C++, Rust, and embedded systems.
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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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers can help keep your website up-to-date.
To hire a Recommender Systems 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 Recommender Systems developers effectively and efficiently. Hire full-time Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommender Systems developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommender Systems developers.
Some factors to consider when you hire Recommender Systems 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 Recommender Systems developers for hire.
Writing a good Recommender Systems developer job description is crucial in helping you hire Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Recommender Systems 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 Recommender Systems 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 Recommender Systems developers to keep up with evolving technology and requirements.
You can find a variety of Recommender Systems developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Recommender Systems developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommender Systems 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 Recommender Systems 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 Recommender Systems developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Recommender Systems developers.
Every Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, you can rest assured that all remote Recommender Systems 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 Recommender Systems developers before we present them to you. As such, all the remote Recommender Systems 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 Recommender Systems developer in 72 hours, or find a full-time Recommender Systems 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 Recommender Systems developers.
Depending on the freelance developer job board you use, freelance remote Recommender Systems developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, check out our FAQs page.