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Vetted MLOps developer in Italy (UTC+1)
I am a Machine Learning Engineer with experience at Amazon, specializing in MLOps, Data pipelines, and ML training platforms. I have also worked as a Data Scientist Intern and conducted research on black-box attacks against DL image classifiers.
Vetted MLOps developer in Ireland (UTC+1)
Engineering Lead with a true passion for understanding and exploring heterogeneous technologies and implementing complex solutions across several domains. Strong product mindset. Focus on using the right tools for the specific task. Kubernetes Certified. Predisposition for getting the High Level of Abstraction of the tasks worked on and fulfilling the business needs prioritizing resources and development efforts. Taking projects from conception to production. Currently leading a SW Development/Platform Team responsible for Machine Learning Ops / Kubernetes Infrastructure, supporting ML models development.
Vetted MLOps developer in the United States (UTC-5)
● 15+ years Linux / Windows Server administration (IIS, Nginx, Active Directory & multiple Linux flavors) ● 15+ years MSSQL / MYSQL Database administration and BigData ● 15+ years Experience with Python, Pyspark [VB.NET](http://vb.net/), C#, SQL, R, Torch, Tensorflow, and Keras ● JavaScript/JQuery, and Multiple Trading-bot based languages (MQL etc) ● 5+ years of experience with golang and rust for concurrent api programming ● 5+ years of experience with serverless architecture deployment, security and monitoring (Splunk) ● Familiar with various source control systems (SVN, Git, etc.) ● Expert with containerization (docker, vagrant, helm, kubernetes) and virtual machines ● Extensive Knowledge in AI/ML, MLOps, VertexAI, and applied artificial intelligence models ● Extensive knowledge of project management platforms and managing large teams ● Automation and testing with multiple languages and frameworks ● Expert in payment processor integration (stripe, paypal, square, alipay etc) ● Experienced with Data-Science/Data-Engineering, and time-series forecasting methods ● Skilled with front end application of ReactJS, Angular and VueJS ● 5+ years experience with multiple Cloud Services like GCP (Google Cloud Platforms), Azure and AWS ● Experienced with Grid Computing
Vetted MLOps developer in the United States (UTC-4)
I have over 8 years of experience in DevOps, cloud architecture, and software engineering. I have led successful projects in cost optimization, change management, infrastructure migration, and workflow development. I have saved clients and organizations over 5 million dollars by increasing developer productivity and managing cloud spending.
Vetted MLOps developer in the United States (UTC-8)
Nine years of experience in data science and software engineering. Passionate about the insights gained from raw data and enjoys converting them to create exceptional business value. My primary expertise is Python, with production experience in Java and C++. To solve data-heavy projects, I have applied advanced machine learning techniques, such as computer vision, NLP, product recommendation systems, networking data, and classical data science.
Vetted MLOps developer in the United States (UTC-4)
Results-driven Data Scientist with 10+ years of experience leading cross-disciplinary teams implementing analytics, statistics, and data visualization as well as developing end-to-end machine learning models. Adept at developing reports to communicate results to fellow analytics experts, senior leadership, and other audiences. Strong appetite for learning new technologies and techniques as demonstrated by transitioning from a quantitative ecologist to a programmer and data scientist proficient in Python, R/RStudio, Git, Tableau, PowerBI, and SQL. Proven ability to find hidden patterns with data and effectively communicate results and tell stories with data through oral presentations and written publications.
Vetted MLOps developer in the United States (UTC-6)
I am a Ph.D. in Physics and professional data scientist with expertise in machine learning, AI, and cloud technologies. I have 5+ years of professional experience in healthcare data analytics and financial modeling. My educational background includes a Ph.D. in Physics and certification in Machine Learning Engineering. I have a strong teaching background in physics and have received various scholarships and awards for my research and academic achievements.
Vetted MLOps developer in the United States (UTC-6)
I am an AI Engineer with 8+ years of experience in full-stack development, CI/CD, Containerization (docker) and Orchestration (k8n), Building Deep learning models, Fine-tuning LLM models, and building AI-driven agentic systems (AI apps and automation).
Vetted MLOps developer in the United States (UTC+9)
I've always focused on backend engineering with plenty of DevOps experience to wrap it up, able to step any project infrastructure in AWS or GCP. I know my way around the frontend as well, and can be productive in any React or Next.js project. Just don't ask me to make things look prettier beyond some basic tailwindcss.
Vetted MLOps developer in the United States (UTC-7)
Experienced engineer with 15 years. Supporting production software with millions of users monthly and billions of dollars in revenue annually at multiple companies as a team member and a leader. In 2019 was in the top 4% for 4 quarters in a row on StackOverflow. Currently ranked top 15% overall worldwide. Polyglot programmer with 15 years experience who enjoys all forms of computer engineering, from the silicon wafer, to the circuit design and embedded systems, networking, cyber-security, to high level software and cloud deployments at scale.
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Get startedArc helps you build your team with our network of full-time and freelance MLOps 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 MLOps 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 MLOps developers can help keep your website up-to-date.
To hire a MLOps 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 MLOps developers effectively and efficiently. Hire full-time MLOps 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 MLOps 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 MLOps 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 MLOps developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire MLOps 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 MLOps 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 MLOps developers, consider niche platforms like Arc that naturally attract and carefully vet their MLOps developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote MLOps developers.
Some factors to consider when you hire MLOps 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 MLOps developers for hire.
Writing a good MLOps developer job description is crucial in helping you hire MLOps 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 MLOps 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 MLOps developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills MLOps 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 MLOps 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 MLOps developers to keep up with evolving technology and requirements.
You can find a variety of MLOps developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance MLOps developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote MLOps 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 MLOps 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 MLOps developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire MLOps developers.
Every MLOps 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 MLOps 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 MLOps 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 MLOps 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 MLOps developers, you can rest assured that all remote MLOps 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 MLOps developers before we present them to you. As such, all the remote MLOps 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 MLOps developer in 72 hours, or find a full-time MLOps 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 MLOps developers.
Depending on the freelance developer job board you use, freelance remote MLOps developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find MLOps 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 MLOps 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 MLOps 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 MLOps developers, check out our FAQs page.