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Ml model monitoring developer in Brazil (UTC-3)
Master’s candidate in Science with an emphasis on AI. Passionate about ML and Deep Learning, with hands-on experience in Computer Vision, Generative AI, and MLOps. Highly adaptable and proactive, with strong leadership and collaboration skills.
Ml model monitoring developer in Brazil (UTC-3)
Sou uma profissional com formação em Ciências Contábeis, tendo me especializado em data Science e engenharia dados. Atua na área de dados a quase 5 anos., passando por digital analytics, análise de dados, data science e engenharia de dados. Minhas experiências de trabalho incluem com empresas do segmento de e-commerce, setor bancário e de tecnologia em geral. Possuo sólidos conhecimentos de Data Science, com ferramentas como jupyter notebook, jupyter lab, Google colab, Python e suas bibliotecas como pandas e numpy,SQL, NOSQL, MSQL, NodeJs, Docker, NPM, JavaScript, HTML, CSS, GTM, GA, Git, Swagger, NLP, Tensorflow. Conhecimento com algoritmos de Machine Learning com Linear Regression, logistic regression, Random Forest, Extra Trees, Decision Trees, K-Nearest Neighbors etc... Conhecimento em Selenium, Beautiful Soup, chromeDriver, Streamlit, Heroku, Power BI e Data Studio. Tenho expertise com Google Cloud plataforma atuando com Cloud Function, Cloud Storage, PubSub, Scheduler, Vertex AI e BigQuery Deem uma Olhada no meu repositório do GitHub : https://github.com/Patricia7sp/Desafios-DataScience https://github.com/Patricia7sp/projeto-integrador
Vetted Ml model monitoring developer in Brazil (UTC-3)
Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.
Vetted Ml model monitoring developer in Brazil (UTC-3)
I’m passionate about understanding and solving complex problems, and this motivation guides my career to enter the field of Machine Learning, as a Staff AI Engineer I was able to deliver value for many companies in challenge projects involving Generative AI and “traditional” Machine Learning. I have almost a decade of experience in the field, part of which was dedicated to natural language processing projects. Especially in 2024 I successfully deployed complex agentic workflows and RAG systems for a variety of industries. I am also a pragmatic person, with a strong sense of belonging to a group. I worked with a wide range of technologies so I will highlight the most relevant to my current focus: Python, GCP, Azure, MLOPS, LLMOPS, Langgraph, Langchain, llama-index, Dspy, agentic workflows, Inference frameworks for LLMs and Machine Learning, Kubernetes for machine learning workloads, cuda optimization
Vetted Ml model monitoring developer in Brazil (UTC-3)
I'm Samuel, a software engineer with a diverse background in the field. I have experience working with various technologies such as Python, Ruby, Golang, Node.js, PHP, and more. In addition to my programming skills, I have also worked extensively with infrastructure (mainly linux servers administration); including AWS, Azure and GoogleCloud, as well with many VPS by different providers. I feel comfortable participating in the entire process, from design and coding to deployment and maintenance.
Vetted Ml model monitoring developer in Brazil (UTC-3)
Bachelor and Master Degree Candidate at Universidade de São Paulo (USP), I have 6 years of experience in technology careers and 3+ years of experience as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects. Main topics over my work experience are: - Technical Skills: SQL (SQL Server, Postgres, MySQL, Presto) , Deep Learning, LLM, Python (mainly Matplotlib, Numpy, Pandas, Polars, Seaborn and Sklearn), R, Spark, MongoDB, ElasticSearch - Cloud Computing Skills: AWS services (Glue, Sagemaker, Athena, EC2 and S3), Databricks, Dataiku - Data Warehouse Skills: Snowflake - Visualization Skills: Tableau, Power BI, Meatabase - Machine Learning Skills: Classification, Regression, Clustering, Time Series. - Application Lifetime Skills: Openshift, Jenkins, Zabbix, Grafana. - General Skills: Git, Scrum, Linux, Green Belt Certification. - Collaboration in the structuring of a Data and Analytics sector; - Extraction, ingestion and definition of master data and business indicators; - Tech lead experience in data engineering, business intelligence and Analytics teams; - Processes automations, leading to working hours optimization; - Organization of recurrent reports, turning them more concise; - Creation of deeper analysis projects over an Analytics and Machine Learning perspective. My way of working consists in adpatation to the culture and environment of the company, embodying the growth mindset and always looking to contribute in possible enhancements in the current state of technical aspects. I consider myself ready for different business scenarios, due to my problem solving skills, I am also capable of creating solutions, with or without a team, whose goal is to reach indicators and answers to business daily or chronical problems.
Vetted Ml model monitoring developer in Brazil (UTC-3)
Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.
Vetted Ml model monitoring 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 Ml model monitoring developer in Brazil (UTC-3)
I’m a Senior Full Stack Developer with 10 years of experience specializing in web technologies like JavaScript, React, Angular, Node.js, and .NET. I led the development of a comprehensive aesthetic procedure management system, streamlining processes and enhancing user engagement. I’ve delivered impactful solutions across various industries, including VR development, e-commerce, and healthcare. I’m committed to continuous learning and leveraging my diverse skill set to drive innovation and deliver outstanding results.
Vetted Ml model monitoring developer in Brazil (UTC-3)
Senior software engineer specialized in Software Architecture with 9+ years experience in software development, architectural project design, high scalability, performance improvement, and monitoring, not chained to a specific language but slightly preferred (most experienced in) Kotlin and Java. Worked with Elixir, TypeScript, JavaScript, Python, Spring, Micronaut, Ktor, Nest.js, React, Testing frameworks (JUnit, Mockito, Mockk, Kotest, ExUnit, Cypress), SQL and NoSQL databases, REST, GraphQL and Event-driven communication, AWS, Docker, Kubernetes, and Monitoring Tools such as Datadog, New Relic, and Grafana (with Prometheus). Built solutions that helped the company save $500k/mo with fraud, enthusiastic about clean code and design patterns, I'm not the kind of developer that codes something no one will understand in a few months. I prefer to think twice and code once to make things easier and simpler than they were. I'm a massive fan of playing drums, and eating burgers, and have an almost infinite sense of humor.
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Ready to hire your ideal Ml model monitoring developers?
Get startedArc offers pre-vetted remote 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 Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring developers can help keep your website up-to-date.
To hire a Ml model monitoring 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 Ml model monitoring developers effectively and efficiently. Hire full-time Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring developers, consider niche platforms like Arc that naturally attract and carefully vet their Ml model monitoring developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Ml model monitoring developers.
Some factors to consider when you hire Ml model monitoring 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 Ml model monitoring developers for hire.
Writing a good Ml model monitoring developer job description is crucial in helping you hire Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Ml model monitoring developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Ml model monitoring 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 Ml model monitoring developers to keep up with evolving technology and requirements.
You can find a variety of Ml model monitoring developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Ml model monitoring developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Ml model monitoring 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Ml model monitoring 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 Ml model monitoring developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Ml model monitoring developers.
Every Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring 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 Ml model monitoring developers, you can rest assured that all remote Ml model monitoring 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 Ml model monitoring developers before we present them to you. As such, all the remote Ml model monitoring 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 Ml model monitoring developer in 72 hours, or find a full-time Ml model monitoring 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 Ml model monitoring developers.
Depending on the freelance developer job board you use, freelance remote Ml model monitoring developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Ml model monitoring 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 Ml model monitoring 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 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 Ml model monitoring 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 Ml model monitoring developers, check out our FAQs page.