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Top remote Snowpark ml developers and experts available to hire:

Remote Snowpark ml programmer - Bruno T.
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Bruno T.

Vetted Snowpark ml developer in Brazil (UTC-3)

Senior AI/MLOps Engineer with 8+ years of experience building and deploying enterprise-scale machine learning solutions. Demonstrated success bridging the gap between data science and production operations, accelerating delivery through CI/CD best practices, and optimizing the full ML lifecycle. Skilled at architecting MLOps systems, containerization with Kubernetes and cloud orchestration. Adept at working in Agile environments, collaborating with cross-functional teams, and translating business needs into robust ML architectures that scale.

Remote Snowpark ml consultant - Rafael F.
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Rafael F.

Vetted Snowpark ml 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.

Remote Snowpark ml expert - Valerio C.
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Valerio C.

Vetted Snowpark ml 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 Snowpark ml engineer - Ricardo V.
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Ricardo V.

Vetted Snowpark ml 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 Snowpark ml expert - Isabelle M.
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Isabelle M.

Vetted Snowpark ml developer in Brazil (UTC-3)

As a Computer Vision and AI specialist, my track record is packed with challenging projects and tangible results. Currently a Senior AI engineer at Flopo, I develop data anonymization solutions and 3D model generation using Deep learning and advanced Computer Vision techniques like Diffusion Models and Gaussian Splatting. I also optimize workflows and deploy models in production using GCP and Docker. At Coppetec, Petrobras, I worked on Deep learning models for seismic image denoising, leveraging PyTorch and TensorFlow, and managed distributed HPC training with SLURM. This work led to a publication on Springer, Mathematical Geosciences. My Msc research in Computer Vision included object detection, aerial image processing, and synthetic frame generation with GANs and Diffusion Models. I also contributed to medical image processing at the D'or Institute. I’m currently pursuing a PhD in AI & Computer Vision, focusing on 3D Deep learning. My technical expertise and ability to deliver innovative solutions make me a strong candidate for your team. (also, I learn things very quickly)

Remote Snowpark ml developer - Rhuan B.
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Rhuan B.

Vetted Snowpark ml 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.

Remote Snowpark ml architect - Pablo C.
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Pablo C.

Vetted Snowpark ml 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.

Snowpark ml developers developer - Pablo C.'s portfolio image
Remote Snowpark ml developer - Igor U.
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Igor U.

Vetted Snowpark ml developer in Brazil (UTC-3)

Sr Data Engineer | AWS Solutions Architect Certified | Spark Databricks developer Certified * 📷Sigma Software Group * 📷Federal University of Viçosa I'm Igor and I'm working in the IT area since 2015. I started my career being a software engineer, working on the backend, front end development, and DevOps, but at that time we already handled lots of data, but some datasets had become pretty much larger than we had used to see, so I discovered my real passion: the big data world. So I decided to jump into the data world where I'm until today. I'm a Data Engineer more focused on programming and infrastructure, so I have worked providing larger data engineering teams with some customized tools to help them during their data pipeline development. I have experience in providing and maintaining big data clusters, either on-premises or on the cloud, with some ready-to-use open-source (or customized) tools like Hadoop, Spark, Hive, Presto, Druid, Sqoop, NiFi, and others. Across all my work experience, I have done some user education 1:1s and training sessions to help our consumers on using our tooling efficiently. Also, sometimes I was allocated to some projects in order to help in data pipeline development using both real-time and batch approaches. One of my greatest achievements regarding this was designing and developing an automated framework for ETL development where business users can focus more on data pipeline development rather than what surrounds it. This project has been largely used and improved nowadays by the responsible team. I have also experience with ML in production or MLOps. I have worked as a technical lead in an MLOps squad helping my team on designing and development of a whole ML platform where users can develop, build, deploy and monitor their own ML models using some key concepts like model bias, input/output data drift (data quality and integrity) without any DevOps skills or extra knowledge

Remote Snowpark ml coder - Marcos J.
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Marcos J.

Vetted Snowpark ml developer in Brazil (UTC-3)

I have 12+ years of experience in technology with a strong background in software development using languages such as Scala, Python, and Java. Over the last 7 years, I transitioned into a data engineering role, contributed to and led end-to-end data projects, optimizing cloud-based architectures, and improving data pipelines for scalability and performance. **Some Certifications:** * AWS Solutions Architect Associate (AWS, emitted on 03/2024) * AWS Data Analytics Specialty (AWS, emitted on 10/2022) * AWS Cloud Practitioner (AWS, emitted on 05/2022) * Databricks Data Engineer Associate (AWS, emitted on 11/2022)

Remote Snowpark ml expert - Luis O.
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Luis O.

Vetted Snowpark ml developer in Brazil (UTC-3)

Senior Software Engineer with over 7 years of experience in Scala, including funcional programming libraries like Cats and ZIO. Experienced in the design of reactive applications and streaming data pipelines using functional programming Hands on experience on data engineering pipelines, including real time streaming architectures, using Spark and Apache Flink.

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Why clients hire Snowpark ml 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 a Snowpark ml 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 a Snowpark ml 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 Snowpark ml developers can help keep your website up-to-date.

How do I hire Snowpark ml developers?

To hire a Snowpark ml 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 Snowpark ml developers effectively and efficiently. Hire full-time Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Snowpark ml developers?

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

Some factors to consider when you hire Snowpark ml 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 Snowpark ml developers for hire.

How do I write a Snowpark ml developer job description?

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

What skills should I look for in a Snowpark ml developer?

The top five technical skills Snowpark ml 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 Snowpark ml 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 Snowpark ml developers to keep up with evolving technology and requirements.

What kinds of Snowpark ml developers are available for hire through Arc?

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

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

Every Snowpark ml 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 Snowpark ml 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 Snowpark ml developer's skills?

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

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

How much does a freelance Snowpark ml developer charge per hour?

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

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