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12,574 top AWS SageMaker developers available to hire:

GP S., senior AWS SageMaker developer for hire
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GP S.

Vetted AWS SageMaker developer in the United States (UTC+9)

I am a Data Engineer Professional with experience in designing and deploying enterprise-grade solutions, integrating e-commerce components, developing AI/ML models, optimizing ETL pipelines, and collaborating with data scientists. I have experience working with LLMs and RAG, and would love to help solve your business needs.

AWS • 6 yrsAWS EKSAWS SageMakerAws iamLLMSolution ArchitectureAIData SciencePythonMachine learningLangchainDockerOpenShiftKubernetesTensorFlowPyTorchHuggingfaceSQLScalaApache SparkIBM WatsonApache HadoopDBTLambdaCloudWatchAmazon RedshiftApache KafkaDatadogGrafanaPrometheusApache AirflowMicrosoft Azure
+25
Data Science, Python, Machine learning, Langchain, Docker, OpenShift, Kubernetes, TensorFlow, PyTorch, Huggingface, SQL, Scala, Apache Spark, IBM Watson, Apache Hadoop, DBT, Lambda, CloudWatch, Amazon Redshift, Apache Kafka, Datadog, Grafana, Prometheus, Apache Airflow, Microsoft Azure
Gregory C., AWS SageMaker freelance developer
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Gregory C.

Vetted AWS SageMaker developer in the United States (UTC-7)

I am a Security/Cloud/DevOps Software Engineer with experience in C++, Python, Ruby, and various cybersecurity tools. I have worked as a Cloud Software Engineer at ArcticWolf, where I debugged customer environments and implemented database API applications. I also have experience as a Security Software Engineer at Broadcom, where I worked on security features and built major WAF features. I hold a Bachelor's degree in Computer Science from the University of Waterloo.

AWS • 3 yrsAWS LambdaAWS SageMakerC++PythonJavaScriptApplication SecuritySecurity softwareDockerCI/CDAzureAmazon S3Google Cloud PlatformAmazon SQSInfrastructure as CodeOpenID ConnectEksGDBValgrindFirewallWeb Application SecurityKernel DevelopmentLambda functions
+16
Security software, Docker, CI/CD, Azure, Amazon S3, Google Cloud Platform, Amazon SQS, Infrastructure as Code, OpenID Connect, Eks, GDB, Valgrind, Firewall, Web Application Security, Kernel Development, Lambda functions
Loris R., freelance AWS SageMaker developer
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Loris R.

Vetted AWS SageMaker developer in Italy (UTC+1)

I am a Machine Learning Engineer with experience at Amazon, specializing in MLOps, Data pipelines, and ML training platforms. I have also worked as a Data Scientist Intern and conducted research on black-box attacks against DL image classifiers.

AWS • 4 yrsAWS SageMakerMLOpsMachine learningPythonDockerSQLPyTorchApache SparkInfrastructure as CodeCI/CDNumPyPandasNLPScikit-learnComputer Vision
+9
PyTorch, Apache Spark, Infrastructure as Code, CI/CD, NumPy, Pandas, NLP, Scikit-learn, Computer Vision
Joshua M., freelance AWS SageMaker programmer
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Joshua M.

Vetted AWS SageMaker developer in the United States (UTC-5)

Experienced data engineer with extensive healthcare experience able to bridge the divide between IT and business operations to implement cutting edge solutions that deliver real value

AWS SageMaker • 3 yrsAWS LambdaAWSSQLData modelingMachine learningData warehousePipelinesAzurePythonSnowflakeDatabricksSalesforceAmazon RedshiftPower BISalesforce Marketing CloudGoogle AnalyticsGoogle BigQueryQlik SenseJira/confluenceMiro
+14
Pipelines, Azure, Python, Snowflake, Databricks, Salesforce, Amazon Redshift, Power BI, Salesforce Marketing Cloud, Google Analytics, Google BigQuery, Qlik Sense, Jira/confluence, Miro
Krishna V., AWS SageMaker freelance developer
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Krishna V.

Vetted AWS SageMaker developer in the United States (UTC-6)

I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.

AWS • 5 yrsAWS LambdaAws glueAWS SageMakerMachine learningPythonAIData ScienceNumPyMatplotlibAmazon S3PandasComputer VisionBootstrapConvolutional TechniquesTableauAmazon RedshiftLinear regressionTensorFlowKerasSeabornPyTorchLoraGPT-3HuggingfacePrompt EngineeringGPT-4LLaMASSHAmazon EC2SFTPClusteringNLPNeural NetworksApache SparkSupervised LearningDeep LearningApache HadoopBayesian StatisticsSocial Network AnalysisDecision MakingMicrosoft visio
+35
Data Science, NumPy, Matplotlib, Amazon S3, Pandas, Computer Vision, Bootstrap, Convolutional Techniques, Tableau, Amazon Redshift, Linear regression, TensorFlow, Keras, Seaborn, PyTorch, Lora, GPT-3, Huggingface, Prompt Engineering, GPT-4, LLaMA, SSH, Amazon EC2, SFTP, Clustering, NLP, Neural Networks, Apache Spark, Supervised Learning, Deep Learning, Apache Hadoop, Bayesian Statistics, Social Network Analysis, Decision Making, Microsoft visio
Austin S., freelance AWS SageMaker programmer
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Austin S.

Vetted AWS SageMaker developer in the United States (UTC-6)

I’m a senior software engineer with over 7 years of experience building scalable, reliable applications across the tech stack. My expertise spans developing modern Single Page Applications (SPAs), crafting efficient Python FastAPI APIs, and architecting robust cloud solutions with AWS. I specialize in helping developers master backend and frontend technologies, including C#/.NET, Vue.js, and Python. Whether you’re tackling performance bottlenecks, designing APIs, or navigating complex cloud architectures, I’ll guide you with actionable advice and proven strategies. I thrive on sharing knowledge and have mentored teams to adopt best practices in asynchronous programming, API optimization, and scalable design. Let’s work together to accelerate your learning, overcome challenges, and achieve your goals as a developer.

AWS • 3 yrsAWS Lambda • 2 yrsAWS DynamoDBAWS SageMakerAws step functionsVue.jsC#ElasticsearchSQLAI/MLPythonFastapiAmazon ECSStreamlitHTML/CSSTypeScriptDapperLINQWordPress
+12
Elasticsearch, SQL, AI/ML, Python, Fastapi, Amazon ECS, Streamlit, HTML/CSS, TypeScript, Dapper, LINQ, WordPress
Austin F., freelance AWS SageMaker programmer
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Austin F.

Vetted AWS SageMaker developer in the United States (UTC-5)

I am a data professional with experience in various projects involving data analytics, data science, and software development. I have worked as an independent contractor for multiple clients, assisting them with tasks such as data analytics, data pipeline implementation, debugging machine learning models, and automating data cleaning processes. I have also worked on projects involving ETL automation, regression analysis, anomaly detection, and classification using machine learning algorithms. Additionally, I have experience in data analysis, optimization algorithms, and time-series data analysis. I possess strong programming skills in Python, Go, and Rust, and I am proficient in various data engineering and machine learning tools and technologies. I am a freelancer but I am willing to consider other work arrangements.

AWS • 2 yrsAWS Data PipelinesAWS SageMakerPandasPythonTensorFlowData AnalysisScikit-learnData ScienceMachine LearningPyTorchNLPAmazon S3
+6
Scikit-learn, Data Science, Machine Learning, PyTorch, NLP, Amazon S3
Laiq A., AWS SageMaker developer for hire
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Laiq A.

Vetted AWS SageMaker developer in Canada (UTC-7)

\- I have strong experience Architecting and building highly scalable APIs. Lead teams, reviewed code/PRs. \- 4+ Years of experience with golang, Python, AWS, Kubernetes, Kafka, Jenkins and Prometheus. \- Have been involved in Building teams (Interviewing, Hiring and mentoring team members). \- Strong production experience working with production systems, monitoring, collecting metrics and building visualizations around those metrics. \- I have build large scale data pipelines, migrating systems from legacy systems into the cloud based systems. \- Have worked with Kafka, Prometheus, Grafana dashboards, Helm chart and Kustomize. \- Strong communication skills and have lead teams for complex projects.

AWS SageMaker • 1 yrsAWSAWS LambdaPythonETLMachine LearningApollo GraphQLJavaAmazon EC2Amazon S3KubernetesGoDockerAmazon RedshiftiOS
+8
Java, Amazon EC2, Amazon S3, Kubernetes, Go, Docker, Amazon Redshift, iOS
Jatin M., freelance AWS SageMaker developer
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Jatin M.

Vetted AWS SageMaker developer in Canada (UTC-5)

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

AWS LambdaAWS SageMakerSQLMachine learningPythonGoogle BigQueryBig DataApache SparkApache HadoopGoogle ai platformMongoDBPostgreSQLMapReduceComputer VisionGoogle Cloud Platform
+8
Apache Spark, Apache Hadoop, Google ai platform, MongoDB, PostgreSQL, MapReduce, Computer Vision, Google Cloud Platform
Rashan S., freelance AWS SageMaker programmer
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Rashan S.

Vetted AWS SageMaker developer in Canada (UTC-4)

I am a Senior Software Engineer with 7+ years experience in Full Stack and Cloud Native Application Development using open source technologies. With years of consulting I have developed and delivered unique skills essential to successful project implementations such as mentorship, time management, converting business needs to technical requirements, effective listening, effective communication, conflict management, and working with remote and worldwide teams. My goal is always to implement best practice solutions, and conduct collaborative knowledge transfer with teammates.

AWS • 2 yrsAWS LambdaAWS SageMakerCloudJavaScriptDevOpsSQLTypeScriptJavaNode.jsOpenShiftAnsibleAzurePythonGitHubnpmLeafletDockerReactMapboxMapbox GL JSAlibaba CloudFastapiAzure DevOps ServerGitJenkinsSonarGitLabSpring BootJestCI/CDQuarkusFlaskNext.jsTailwind css
+28
TypeScript, Java, Node.js, OpenShift, Ansible, Azure, Python, GitHub, npm, Leaflet, Docker, React, Mapbox, Mapbox GL JS, Alibaba Cloud, Fastapi, Azure DevOps Server, Git, Jenkins, Sonar, GitLab, Spring Boot, Jest, CI/CD, Quarkus, Flask, Next.js, Tailwind css

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Arc helps you build your team with our network of full-time and freelance AWS SageMaker developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire an AWS SageMaker 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 AWS SageMaker developer, multiple developers, 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 AWS SageMaker developers can help keep your website up-to-date.

How do I hire AWS SageMaker developers?

To hire an AWS SageMaker 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 AWS SageMaker developers effectively and efficiently. Hire full-time AWS SageMaker 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 AWS SageMaker engineers 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 AWS SageMaker 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 AWS SageMaker developer for your company, and let Arc handle the logistics.

Where do I hire the best remote AWS SageMaker developers?

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

Some factors to consider when you hire AWS SageMaker 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 AWS SageMaker developers for hire.

How do I write an AWS SageMaker developer job description?

Writing a good AWS SageMaker developer job description is crucial in helping you hire AWS SageMaker programmers 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 AWS SageMaker 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 AWS SageMaker programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in an AWS SageMaker engineer?

The top five technical skills AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers to keep up with evolving technology and requirements.

What kinds of AWS SageMaker programmers are available for hire through Arc?

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

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

Every AWS SageMaker developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in AWS SageMaker and breadth across the greater domain). 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 AWS SageMaker engineer 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 developer’s AWS SageMaker skills?

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

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

How much does a freelance AWS SageMaker developer charge per hour?

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

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 AWS SageMaker 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 AWS SageMaker developers, check out our FAQs page.

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