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Vetted MLOps developer in Brazil (UTC-3)
A professional with a Master’s degree in Data Science and Machine Learning, bringing over 6 years of experience in back-end development, Machine Learning and AI engineering. Skilled in leveraging Deep Learning, NLP (Natural Language Processing), and LLMs (OpenAI, Google Gemini, Llama) with tools like Python, PyTorch, and TensorFlow. Proficient in DevOps tools such as Docker, GitLab, and Kubernetes as well as in cloud platforms, including GCP (Google Cloud) and AWS. My primary expertise lies in Data Science and Machine Learning, particularly in processing unstructured data from legal documents. As a dedicated professional in the technology field, I am continuously learning and believe this commitment enhances my ability to bring meaningful value to teams.
Vetted MLOps developer in Brazil (UTC-3)
MSc in Economics and Econometrics, BS in Electronic Engineering, with a specialization in Business Analytics and certifications in Deep Learning and Generative AI. Accomplished Data Science Leader with over a decade of experience in leadership and senior technical roles. Combines deep expertise in software engineering with a proven track record of driving impactful, data-driven solutions.
Vetted MLOps developer in Brazil (UTC-3)
Matheus is a Machine Learning Engineer/Data Scientist with five years of commercial experience and a degree in Control and Automation Engineering and an MSc in Computer Science. * Worked in Technology, Telecom, Bank, Agriculture, Medicine, and Fashion; * Matheus has worked in Brazil, USA, and has international experience studying and conducting undergraduate research in both France and Czech Republic; * Led a team that developed an end-to-end system for beginner users in Machine Learning that enabled them to get data statistics, train, and deploy computer vision models only using a user interface. This system was a microservice application; * His hobbies include playing football, playing guitar, and surfing.
Vetted MLOps developer in Brazil (UTC-3)
Senior Data Scientist with experience working with machine learning, GIS, scientific programming, signal processing and predictive maintenance projects for industrial clients. Looking for opportunities to combine scientific computing and modelling techniques with my expertise to solve problems with technological and/or domain components.
Vetted MLOps developer in Brazil (UTC-3)
I'm a problem solver with 5+ years of experience and results based on data and business knowledge. I’m very proactive, collaborative and always available to help and support my colleagues. I'm an eager learner mainly interested in Machine Learning, MLOps, Deep Learning and all about technology. Experience in 💼: \> Extracting business value from data and large data sets, predictive modeling, forecasting, optimization, generation of insights and supporting business decision making, problem framing, data analysis, value assurance, development of proof of performance and POC; \> Real estate market, E-commerce, Insurance, predictive maintenance in oil and gas industry; \> Clustering, time series, anomaly detection, feature selection, feature importance, NLP; \> MLOps, development of ML and Deep Learning models, models monitoring, maintenance, experiment, deployment, data drift detection; Programming Languages 💻: Python, R, SQL, VBA (Excel and Word), SAS, Prophet Tools ⚒️ : PySpark/Spark, MLflow, Databricks, Git, Microsoft Azure, AWS, Amazon Sagemaker, Azure DevOps, Google Cloud Platform, MS Office, Data Studio, Power BI, VS code.
Vetted MLOps developer in Brazil (UTC-3)
As a Control and Automation Engineer I like to automate processes of any kind. Since I started in this world of data in 2018 I have been in different roles, such as Data Scientist, Data Engineer and, for the over last three years, Machine Learning Engineer. With all these different roles I have gained great knowledge in different areas like, gathering data, model development and model deployment. I have strong knowledge in Python/PySpark, computer vision and API's. Furthermore, I am skilled in Software Engineering best practices, Docker, Kubernetes and have worked mostly with Apache Airflow, MLflow, FastAPI, Azure Databricks, Azure Data Factory and Kafka.
Vetted MLOps developer in Brazil (UTC-3)
Former Electronics Engineering professional, I decided to change my career in 2014 after taking a Machine Learning class in the University. At that time I had already finished Coursera's Machine Learning course by Andrew Ng. After building small projects using open source data, I worked for two fintech startup companies as a Data Scientist. That experience opened the door at Yellow, a bike sharing company. I led part of the tech team building digital wallet as Head of Payments. In 2020, I started a new challenge at Loft, a proptech startup. During 1 year of experience I led some Supply Operations and then I contributed as a Product Manager. At Dell I had a big technical challenge: coordenating multiple teams around the world in order to leverage MLOps culture for Data Science models. The BHAG was to create a realiable Machine Learning platform. Currently I am the head of Data and ML at cloud humans, a startup that helps companies to give the best experience to their customers. We use text analytics / NLP to solve complex problems.
MLOps developer in Brazil (UTC-3)
Results-driven engineering leader with 10+ years of experience spearheading AI, Software and ML initiatives. Proven track record of driving innovation, managing cross-functional teams, and delivering high-impact projects in both public and private sectors. Expertise in leveraging cutting-edge technologies to solve complex business challenges and mentor next-generation talent.
MLOps developer in Brazil (UTC-3)
My working experiences so far in my career: - Usage of Machine Learning models and Statical Analysis for business insights and/or decisions; - Experience in Data Visualization (Power BI, Tableau, D3.js, Shiny); - Knowledgeable in Python and R, besides other general-purpose programming languages like C++ and C#; - Knowledgeable in SQL, especifically SQL Server, Oracle PL/SQL and Hive SQL; - Experience in handling and modeling relational databases in differents ecosystems, such as Hadoop; - Initial experience with cloud databases (Azure) and DevOps (Docker, Airflow, MLflow) Electrical Engineer graduated from Federal University of Ceará, Fortaleza, Brazil. Self-taught programmer, always looking for different projects to expand my knowledge and find new solutions, even if struggling at the beginning.
MLOps developer in Brazil (UTC-3)
Data Scientist with 6 years of expertise in Machine Learning, Generative AI, Data Analysis and Visualization and Data Engineering. From retail segmentation to predictive maintenance, I specialize in crafting impactful solutions utilizing Python, SQL, GCP, AWS, and innovative approaches. I have transformed data accessibility with an AI-driven WhatsApp Chatbot, providing tangible benefits to directors and managers. Additionally, I have excelled in optimizing media investments, engineering delivery time predictions. Proficiency in ETL design, regression modeling, and agile methodologies underlines my commitment to delivering high-quality solutions. Beyond technical skills, my strong communication abilities facilitate effective collaboration throughout cross-functional teams and ensure successful project outcomes.
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Ready to hire your ideal MLOps 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 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.