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Recommender Systems developer in Italy (UTC+2)
Professionally accomplished AI expert with a Master's degree in AI and Robotics, currently pursuing a second Master's in AI. Seasoned computer software engineer with a strong foundation in machine learning and deep learning methodologies. Proficient in PyTorch and Python programming languages, demonstrating expertise across diverse domains of ML/DL, encompassing Computer Vision, Natural Language Processing (NLP), and Recommender Systems. Contributed to the field through the development of multiple ML/DL libraries. Dedicated to leveraging technology to address complex real-world challenges. Committed to ongoing professional development, characterized by efficiency, organization, and exceptional communication and interpersonal abilities.
Recommender Systems developer in Italy (UTC+1)
### **Experience** As an experienced Machine Learning Research Engineer and Freelance Software Engineer, I have a proven track record of developing and implementing innovative solutions to complex problems. I have a talent for optimizing algorithms and improving developer throughput, as evidenced by my success in reducing time-to-production from 6 months to 3 weeks with a novel ranking algorithm. Previously, I've also contributed to EU-funded projects, developing interactive UIs for traffic safety applications. As a technical leader, I am skilled in code design and have a strong attention to detail. I am passionate about writing clear and engaging technical reports and blog posts, and I am always looking for ways to improve how information is presented. I thrive in dynamic environments where experimentation and ownership are encouraged, and I am eager to bring my strategic insights and problem-solving skills to a collaborative team. ### **What I'm Looking For:** I am seeking a challenging and dynamic role where I can grow and leverage my technical expertise and leadership skills to make a meaningful impact. I am particularly interested in opportunities that allow me to experiment with new technologies and approaches, and where I can contribute to a culture of innovation and continuous learning. As a wordsmith, I am also passionate about improving how technical information is presented and communicated to a wider audience: technical reports, blog posts, conferences, presentations and engaging with the community. If you are looking for a motivated and experienced professional to join your team, I would love to hear from you.
Recommender Systems developer in Italy (UTC+2)
Hello! I'm Facundo, a passionate frontend developer. My innate curiosity drives me to obsess over the questions that arise in my mind, always seeking to execute technological solutions. I dive into the fascinating world of **JavaScript** and its surroundings, constantly exploring **cutting-edge technologies**. I'm passionate about **web technologies in all their forms**. In the realm of software development, my interests are diverse, ranging from **agile methodologies** to **software architecture** and **technical leadership**. I see myself as a **natural communicator** and an **effective collaborator**, with a lot of passion for **driving evolution** in the products I'm part of, always ready to assist my colleagues. I'm always on the lookout for new challenges! And I believe that every day is an opportunity to learn something new. **Let's connect and see where this unexpected journey takes us 🧙♂️** 👉 _[Follow me on Github](https://github.com/FacundoPalombo)_ 👉 _[Connect with me on Linkedin](https://www.linkedin.com/in/facundopalombo/)_
Vetted Recommender Systems developer in Italy (UTC+2)
I am a Front-End IC RTL design engineer with more than 17 years of industry experience. I’ve worked on all levels of ASIC designs from large visual processing unit (VPU) SoCs to smaller power delivery chipsets. I’ve spent several years working in the sectors of automotive, consumer and industrial with extensive experience delivering hardware IP in the fields of PCIe, image signal processing (ISP), low power delivery, audio and video. Also spent several years supporting and engaging with customers in delivering a prompt solution to meet their needs.
Vetted Recommender Systems developer in Italy (UTC+2)
I am a highly experienced Telecommunication Engineer with a proven track record of over 10 years in IT Project Management. I hold the prestigious PMP® certification, underscoring my comprehensive understanding and proficiency in this domain. My expertise spans a broad spectrum, with a particular focus on VOIP technology, complemented by extensive experience as a Unix system administrator. Throughout my career, I have consistently demonstrated a natural inclination towards collaborative teamwork and a proactive approach to problem-solving. Working across various organizations, I have acquired a wealth of knowledge across diverse IT technologies and processes. This exposure has equipped me with a remarkable ability to adapt to changing circumstances and effectively navigate dynamic environments. In addition to my technical acumen, I possess strong interpersonal skills that facilitate effective communication and enable me to establish rapport with stakeholders at all levels. I am adept at conveying complex information in a clear and concise manner, ensuring a shared understanding of objectives and fostering productive working relationships. In summary, my extensive experience, combined with my commitment to ongoing professional development, has shaped me into a Telecommunication Engineer who excels in IT Project Management. I bring a comprehensive skill set, adaptability to change, and a strong aptitude for effective communication to every endeavor I undertake.
Vetted Recommender Systems developer in Italy (UTC+1)
I have over 6 years of experience in web design, with expertise in HTML, CSS, Wordpress, and Magento. Fluent in English and Italian, with a diploma in Business Management and Web Design. I specialize in working with Nginx and PHP, focusing on web design, and fixing bugs and errors. My passion for problem-solving drives me to find efficient and effective solutions to technical challenges, ensuring systems run smoothly and efficiently.
Vetted Recommender Systems developer in Italy (UTC+1)
Technology enthusiast, nerd since I was a kid. Erlang/Elixir coder for years now, focused on complex back-end infrastructure, with code and software architecture design roles. My code is deployed in hundreds of systems, scaling from tens, to several hundreds of thousands of 24/7 connected mobile phones (with complex state, subsystems, configurations and thousands of transactions per second). I come from C/C++ embedded world, so I’ve seen both worlds: the end device and the complexity of the backbone infrastructure.
Recommender Systems developer in Italy (UTC+1)
Being a highly skilled C++ and game developer and consultant of having over 6 years of experience. Bringing forth expertise in Gameplay Software Engineering, Networking and Blueprint Development. Equipped with a diverse and promising skill-set. Proficient in an assortment of programming languages, including Lua, C# and Java. Able to effectively self-manage during independent projects, as well as collaborate in a team setting. I possess a wide range of industry knowledge and now I am ready to take the next step in my career.
Recommender Systems developer in Italy (UTC+1)
Senior Frontend Engineer at Hewlett Packard Enterprise
Recommender Systems developer in Italy (UTC+2)
Embedded controls engineer
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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.