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Top remote Ai/ml model lifecycle management developers and experts available to hire:

Remote Ai/ml model lifecycle management developer - Abe J.
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Abe J.

Vetted Ai/ml model lifecycle management developer in Brazil (UTC-3)

Over 10 years in product with a background in Computer Science I worked for fintech, SaaS, and startups, specializing in **AI-powered financial solutions**, ML applications, and PLG strategies. Proven ability to build AI-first products, integrating LLMs, automation, and predictive analytics. Expertise in data pipelines, AI model lifecycle, and UX. Expert about AI/ML to disrupt industries and enhance customer experiences.

Remote Ai/ml model lifecycle management developer - Viviane G.
Viviane G.

Remote Ai/ml model lifecycle management developer in Brazil (UTC-3)

Product Manager with 7 years of experience and an entrepreneurial background, having founded and successfully sold a software agency. Currently contributing to a New York-based company, working on projects involving Generative AI and Data Lake. Currently pursuing a post-graduate degree in Data Analysis and AI, with a published article on Elasticsearch. Proven ability to collaborate with cross-functional teams, manage complex products, and deliver results under tight deadlines. Expertise in stakeholder management, crafting product strategies, and aligning solutions with business goals to drive measurable success.

Remote Ai/ml model lifecycle management programmer - Livia C.
Livia C.

Remote Ai/ml model lifecycle management developer in Brazil (UTC-3)

PhD in Public Health from the Ribeirão Preto School of Medicine, she believes that software and hardware can change the health sector for the better and empower women, making the world a fairer and healthier place. Bachelor's degree in Biomedical Informatics from the Ribeirão Preto School of Philosophy, Sciences and Letters and the Ribeirão Preto School of Medicine. I am used to and enjoy working with teams from diverse backgrounds. I work as an Innovation Coordinator at the Hospital Israelita Albert Einstein and I am a Computer Science professor at the Barão de Mauá University Center. My focus is on how technology and artificial intelligence applied to health can improve people's lives. I advocate bringing more women into STEM, especially in positions of power. Since 2021, I have worked as a technical leader of multidisciplinary teams that develop advanced AI for the health sector. I have worked as a consultant for the World Health Organization, as a software developer, and as one of the 51 grantees of the Bill and Melinda Gates Foundation in the Grand Challenges of AI for a more equitable world. As a Latin American woman, public health scientist, women's advocate, and developer, I can bring a unique perspective to a global, integrative, and excellence-driven approach. Developer and data analyst with 10+ years of experience. • Implemented a new module to perform NLP tasks • Developed a model to detect pregnant woman based on health procedures and with 95% of accuracy • Produced a series of data analyses that helped the development of the new WHO Intrapartum care guideline • Developed web system that sent 22,296 SMS to pregnant women and partners • Strong technical background due to academic training and professional experience: Bachelor's, Master's and PhD degrees from the best university in Latin America (TOP#1) • International experience in U.S. and Europe • Used to work remotely away from the team

Remote Ai/ml model lifecycle management programmer - Joseph P.
Joseph P.

Remote Ai/ml model lifecycle management 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.

Remote Ai/ml model lifecycle management expert - Luan C.
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Luan C.

Vetted Ai/ml model lifecycle management 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.

Remote Ai/ml model lifecycle management architect - Valerio C.
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Valerio C.

Vetted Ai/ml model lifecycle management 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

Remote Ai/ml model lifecycle management expert - Willian F.
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Willian F.

Vetted Ai/ml model lifecycle management developer in Brazil (UTC-3)

I’m passionate about technology, with over 8 years of experience in frontend development. Managers frequently praise my persistence and my ability to apply cutting-edge solutions to complex challenges. By refining frontend animation processes, I’ve reduced development time by 80%, and through advanced React optimizations, I’ve improved Lighthouse performance scores by up to 35%. I’m constantly eager to learn new tools and put them into action, driving engaging and efficient digital experiences.

Remote Ai/ml model lifecycle management consultant - Samuel D.
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Samuel D.

Vetted Ai/ml model lifecycle management 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.

Remote Ai/ml model lifecycle management consultant - Ricardo V.
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Ricardo V.

Vetted Ai/ml model lifecycle management 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.

Remote Ai/ml model lifecycle management programmer - André Q.
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André Q.

Vetted Ai/ml model lifecycle management developer in Brazil (UTC-3)

Senior Product Engineer with 11 years of experience. Founding Developer of a Data Dive, a leading SaaS empowering Amazon Sellers with SEO. Achieved 5500+ B2B paying customers (over $2,500,000 ARR) from ground zero. My way to do business and life: I enjoy creating a safe and honest environment that is honest so people can enjoy meaningful connections, safe so people are not afraid to bring in their best selves, and challenging so we can all grow to our full potential. I love to hear people and understand both their unique brilliance and their unique struggles. Be it the client, the developers, the business, the sales, or the old housewife from the land side (or even myself). I'm non-stop eager to learn what moves them and to discover their superpowers, even if they do not know about it yet. Ah yeah, It happens that I also build solid systems that customers love ¯\\\_(ツ)\_/¯

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Why clients hire Ai/ml model lifecycle management developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire an Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers can help keep your website up-to-date.

How do I hire Ai/ml model lifecycle management developers?

To hire an Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers effectively and efficiently. Hire full-time Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Ai/ml model lifecycle management developers?

There are two types of platforms you can hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, consider niche platforms like Arc that naturally attract and carefully vet their Ai/ml model lifecycle management developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Ai/ml model lifecycle management developers.

Some factors to consider when you hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers for hire.

How do I write an Ai/ml model lifecycle management developer job description?

Writing a good Ai/ml model lifecycle management developer job description is crucial in helping you hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in an Ai/ml model lifecycle management developer?

The top five technical skills Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers to keep up with evolving technology and requirements.

What kinds of Ai/ml model lifecycle management developers are available for hire through Arc?

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

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

Every Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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.

How does Arc vet a Ai/ml model lifecycle management developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, you can rest assured that all remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers on Arc?

Arc pre-screens all of our remote Ai/ml model lifecycle management developers before we present them to you. As such, all the remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developer in 72 hours, or find a full-time Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers.

How much does a freelance Ai/ml model lifecycle management developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Ai/ml model lifecycle management developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developer?

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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, check out our FAQs page.

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