Hire the Top 2% of
Freelance Anomaly Detection Developers

Arc helps you find and hire top freelance Anomaly Detection engineers for your jobs. With 450,000+ software programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Anomaly Detection developers and experts that you can trust.

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Hire freelance Anomaly Detection developers

Mark M., Anomaly Detection developer for hire
Mark M.

Anomaly Detection developer in the United States (UTC-7)

Senior Staff Data Engineer with 12 years full-stack Data Engineering experience, 6 years Data Science with LLM's, and MS in Data Science. Seeking remote team of talented experts.

Christine W., Anomaly Detection freelance coder
Christine W.

Anomaly Detection developer in Canada (UTC-9)

Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.

Ahmed-Chady Z., senior Anomaly Detection developer
Ahmed-Chady Z.

Anomaly Detection developer in Canada (UTC-5)

Ahmed is a Software Engineer with 6 years of development experience, specializing in backend solutions and AI projects. Proficient in Python, Java, he has developed robust web applications and data solutions using frameworks like Flask, Django, and FastAPI. His experience with cloud platforms such as AWS and GCP enables him to deploy scalable services, while his use of Docker and Kubernetes ensures efficient application management. In recent years, Ahmed has focused on integrating AI and Natural Language Processing (NLP), utilizing technologies like TensorFlow, PyTorch, and Large Language Models to enhance features and automate solutions. He has also extended his expertise to include data analysis and machine learning techniques, such as predictive analytics and anomaly detection. As he continues to enhance his front-end skills with frameworks like React.js and Next.js, Ahmed remains committed to delivering exceptional user experiences through meticulous planning and execution. His dedication to leveraging modern tools and paradigms, including microservices, DevOps, and real-time processing, reflects his commitment to innovation and efficiency in software development.

Lakshmi P., Anomaly Detection freelance developer
Lakshmi P.

Anomaly Detection developer in the United Kingdom

Data Science & AI/ML professional with over 8 years of hands-on experience and proficiency in Python, R, Azure, Power BI, and various frameworks, systems, and libraries such as Pandas, scikit-learn, TensorFlow, PyTorch, NumPy, Keras, Matplotlib, Seaborn, Plotly, Spark etc. Track record in working with datasets and business settings with respect to multiple industries like financial institutions, medical establishments, telecommunications, Energy sector, e-commerce and print media. Proficient in identifying present and future issues across various scenarios and actively pursuing efficient solutions. Expertise and exposure in various algorithms, including decision trees, random forests, SVM, KNN, and bootstrapping tests. Hands-on experience in various LLM models like GPT and BERT. Experience in supervising teams for various AI/ML projects. Proficient in simplifying complex technical concepts for varied listeners, ensuring clarity, and understanding. Hands-on experience encompassing deep-learning-based computer vision, NLP algorithms, and statistical analysis. Masters in Artificial Intelligence graduate from the University of Stirling.

Jose C., Anomaly Detection developer for hire
Jose C.

Anomaly Detection developer in Portugal (UTC+1)

As a Computer Engineer and Master in Intelligent Systems, I am currently looking for new opportunities in this field, to learn more, improve my skills and contribute to the improvement of others beside me. I consider myself a person striving to improve my knowledge in order to raise the standard of my work.

Juan A., Anomaly Detection developer for hire
Juan A.

Anomaly Detection developer in Andorra (UTC+2)

I love solving problems with software, and I've been doing that since the early 2000s, working in areas like finance, trust and safety, anomaly detection, gaming, internet news, security, and SMB services. I've worked in diverse team environments, from large 60 engineering teams to small startups and solo projects, and I've had different leadership responsibilities, from co-founder/solopreneur to technical lead of 4-5+ engineer teams. I've solved problems for many types of people including data analysts, other engineers, researchers, sales, finance, investors, business owners, gamers, and regular internet users. I've built backend and frontend servers, large data processing pipelines, and APIs with hundreds of clients. I'm a generalist but I get the most energy from solving open-ended and ill-specified problems, and from problems that benefit from AI techniques. I have experience prioritizing human and computing resources, dealing with legacy codebases, "changing engines mid-flight", minimizing maintenance cost, and managing technical debt through team culture, system design, processes, and code health. I've managed projects through their full lifecycle, from prototype to maintenance to decommissioning or merging with other systems. Some technologies I'm familiar with: Python, Go, Ruby (Ruby on Rails), Javascript, Typescript, C++, Java, cloud services, PostgreSQL, Redis, recent AI technologies (LLMs, RAGs, agents, Langchain, MLFlow, LabelStudio). I'm systematic. I value finding the best solutions, execution, and clear thinking. I work best with people who are passionate about what they do, who care about UX, development velocity and personal growth, and who hold themselves to unreasonably high standards.

Kaio D., Anomaly Detection developer for hire
Kaio D.

Anomaly Detection developer in Brazil (UTC-3)

I am a Specialist Software Engineer with experience in designing and creating new functionalities for a Brazilian Fintech. I also founded a software development agency and have a background in IoT.

Mariam H., freelance Anomaly Detection programmer
Mariam H.

Anomaly Detection developer in Armenia (UTC+4)

Being a Data Scientist with expertise in Python programming, Machine Learning, Big Data Analytics, and SQL databases, I have experience in data architecture design, ML model implementation, and consumer journey analytics. In every long- or short-term project I demonstrate excellent self-management, problem-solving, multi-stakeholder management skills delivering optimal, reusable and efficient end-product.

Khai T., Anomaly Detection developer for hire
Khai T.

Anomaly Detection developer in Japan (UTC+9)

Highly skilled and motivated Machine Learning Engineer with a proven track record in developing cutting-edge autonomous driving solutions and a strong background in data science. Seeking challenging opportunities to apply my expertise in algorithm development, cloud services, and anomaly detection in a dynamic and innovative environment.

Sumit K., freelance Anomaly Detection developer
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Sumit K.

Vetted Anomaly Detection developer in India (UTC+6)

Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.

Discover more freelance Anomaly Detection developers today

Why choose Arc to hire Anomaly Detection developers

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FAQs

Why hire an Anomaly Detection 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 an Anomaly Detection developer, multiple developers, 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 Anomaly Detection developers can help keep your website up-to-date.

How do I hire Anomaly Detection developers?

To hire an Anomaly Detection 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 Anomaly Detection developers effectively and efficiently. Hire full-time Anomaly Detection 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 Anomaly Detection engineers 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 Anomaly Detection 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 Anomaly Detection developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Anomaly Detection developers?

There are two types of platforms you can hire Anomaly Detection programmers 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 Anomaly Detection 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 Anomaly Detection developers, consider niche platforms like Arc that naturally attract and carefully vet their Anomaly Detection developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Anomaly Detection developer candidates.

Some factors to consider when you hire Anomaly Detection 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 Anomaly Detection developers for hire.

How do I write an Anomaly Detection developer job description?

Writing a good Anomaly Detection developer job description is crucial in helping you hire Anomaly Detection programmers 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 Anomaly Detection 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 Anomaly Detection programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in an Anomaly Detection engineer?

The top five technical skills Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection developers to keep up with evolving technology and requirements.

What kinds of Anomaly Detection programmers are available for hire through Arc?

You can find a variety of Anomaly Detection developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Anomaly Detection programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection developers?

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

Every Anomaly Detection developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Anomaly Detection and breadth across the greater domain). 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 Anomaly Detection engineer 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 developer’s Anomaly Detection skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection developers, you can rest assured that all remote Anomaly Detection 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 Anomaly Detection developers on Arc?

Arc pre-screens all of our remote Anomaly Detection developers before we present them to you. As such, all the remote Anomaly Detection 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 Anomaly Detection programmer in 72 hours, or find a full-time Anomaly Detection programmer 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 Anomaly Detection developers.

How much does a freelance Anomaly Detection developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Anomaly Detection developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection 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 Anomaly Detection developers, check out our FAQs page.

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