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1,565 Remote Spark ml Lib developers and experts available to hire:

Remote Spark ml Lib consultant - Franco F.
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Franco F.

Vetted Spark ml Lib developer in Argentina (UTC-3)

Data Scientist with over 4 years of experience developing and training machine learning models to solve real-world problems. Skilled in Python, TensorFlow, Flask, and cloud platforms like Vertex AI and Azure Databricks. Passionate about mathematics, statistics, and technology, and driven to build impactful, data-driven solutions.

Remote Spark ml Lib architect - Andres G.
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Andres G.

Vetted Spark ml Lib developer in Guatemala (UTC-6)

**Hi, I'm Andres Gonzalez**, and I'm a passionate front-end developer specializing in React. I'm also a skilled back-end developer with expertise in Python (Django, FastAPI, and Flask). With 4 years of professional experience in web development, data visualization, and analysis, I have also gained experience in leading projects and operations management. In addition, worked as a data engineer managing end to end daba bases, creating the data estructure that will improve performance of our organization.

Remote Spark ml Lib engineer - Samuel S.
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Samuel S.

Vetted Spark ml Lib developer in Brazil (UTC-3)

As a Data Engineer with over 5 years of experience, I've led multiple data migration projects and developed robust ETL pipelines using AWS and PySpark. I've improved data processing efficiency by implementing automated workflows and achieving 98% code coverage in testing. Currently working in the automotive industry, I integrate AI/ML solutions while collaborating with international teams. With a strong background in Computer Science, post-graduate studies in AI / Big Data, and an MBA in Software Engineering, I combine technical expertise in Python, SQL, and cloud technologies with a passion for building scalable data solutions.

Remote Spark ml Lib developer - madhur Y.
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madhur Y.

Vetted Spark ml Lib developer in India (UTC+6)

7+ years of extensive experience in Machine Learning, Deep Learning and Software Development Solutions. A motivated Data Scientist well-versed in Statistical Analysis, Machine Learning, Deep Learning using Python. Have Experience with MNCs as well as startups with work assignments across the USA, UK, Australia, and India. Well recognized for getting things done and getting things fixed. Essentially a learner at heart, a problem solver, and always strives to be a value creator.

Remote Spark ml Lib expert - Alik D.
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Alik D.

Vetted Spark ml Lib developer in Georgia (UTC+4)

Experienced Data Engineer with 5+ years in Big Data and cloud solutions, proficient in Python and Scala. Skilled in designing and managing complex databases, including MongoDB, PostgreSQL, Oracle, and ClickHouse. Expertise in Big Data technologies like Hadoop and Kafka, and cloud platforms across AWS and GCP, optimizing large-scale data systems. Successfully led critical migrations, optimizations, and the development of data warehouses and data lakes, with impactful contributions to projects for major companies like Apple. Experienced in leveraging DevOps tools and integrating APIs using AsyncIO to enhance system efficiencies.

Remote Spark ml Lib engineer - Igor U.
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Igor U.

Vetted Spark ml Lib 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 Spark ml Lib consultant - Jatin M.
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Jatin M.

Vetted Spark ml Lib developer in Canada (UTC-4)

I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨‍🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics

Remote Spark ml Lib programmer - Bruno T.
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Bruno T.

Vetted Spark ml Lib 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 Spark ml Lib engineer - Israel .
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Israel .

Vetted Spark ml Lib developer in Italy (UTC+2)

Fueled by a desire to make a tangible impact, I’m a Generative AI Engineer with a focus on deploying models in industries such as energy, healthcare, and telco. I’m excited to harness the power of AI to improve efficiency and sustainability.”All you need is a PoC”

Remote Spark ml Lib programmer - Marcos J.
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Marcos J.

Vetted Spark ml Lib 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)

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Why clients hire Spark ml Lib 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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Arc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.

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FAQs

Why hire a Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers can help keep your website up-to-date.

How do I hire Spark ml Lib developers?

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

Where do I hire the best remote Spark ml Lib developers?

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

Some factors to consider when you hire Spark ml Lib 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 Spark ml Lib developers for hire.

How do I write a Spark ml Lib developer job description?

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

What skills should I look for in a Spark ml Lib developer?

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

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

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

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

Every Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developer's skills?

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

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

How much does a freelance Spark ml Lib developer charge per hour?

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

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