Hire the Top 2% of
Remote AWS SageMaker Developers
in India

Your trusted source for hiring top AWS SageMaker developers, engineers, experts, programmers, freelancers, coders, contractors, and consultants in India — Perfect for startups and enterprises.

Freelance contractors Full-time roles Global teams

$0 until you hire Remote AWS SageMaker Developers$0 until you hire
Trusted by

2,083 Remote AWS SageMaker developers and experts available to hire:

Remote AWS SageMaker consultant - yogesh A.
yogesh A.

Remote AWS SageMaker developer in India (UTC-7)

I create intelligent, scalable and high-performance systems by taking advantage of full-stack development, generative AI and cloud computing. With an experience of 4.5 years, I specialize in the creation of innovative, future solutions using technologies such as React (redux), Angular, Node.JS, Python, Large Language Model (LLM), and AWS. My expertise includes developing end-to-end applications, adaptation of performance and safety, and integrating AI-operated solutions to enhance user experiences. Enthusiastic about problem-solving and constant learning, I remain updated with the latest progress to distribute modern and impressive applications.

Remote AWS SageMaker developer - kapil S.
kapil S.

Remote AWS SageMaker developer in India (UTC+6)

• Experience with Azure (Virtual Machines, Virtual Networks, AKS, Cosmos DB, Azure Functions, Azure Monitor, RBAC, Blob Storage). • Experience with AWS (EC2, VPC, RDS, DocumentDB/MongoDB, API Gateway, CloudFront/CDN, Auto Scaling, EFS, S3, ECS, EKS, CodeDeploy, CodePipeline, CodeBuild, GuardDuty, Inspector, Trusted Advisor, AWS Well-Architected Framework, X-Ray). • Experience with GCP (Compute Engine, Google Kubernetes Engine, Cloud SQL, Load Balancing, Auto Scaling, Security Command Center, BigQuery, Dataproc, Cloud Functions, Cloud Run, Cloud Armor). • Good understanding of server-side templating languages and basic front-end technologies. • Ability to integrate multiple data sources and databases into one system. • Understanding of fundamental design principles for scalable applications. • Skilled at creating database schemas that represent and support business processes. • Proficient with version control (Git, Bitbucket). • Continuous Integration and Continuous Deployment using AWS CodeDeploy. • Implementing SSL, Domain Mapping on Linux and Windows Servers. • Knowledge of SaaS, IaaS, etc.

Remote AWS SageMaker developer - Rajan G.
vetted-badge
Rajan G.

Vetted AWS SageMaker developer in India (UTC+6)

I am an experienced ML Engineer and Data Scientist with a strong background in Python development. Currently, as Managing Director at Groove Innovations, I developed an AI-driven search system that improved retrieval accuracy by 35%. Previously, at Phenom, I engineered a real-time fraud detection system that addressed 80-90% of fraudulent cases. My expertise includes NLP, machine learning pipelines, and cloud technologies, focusing on delivering impactful solutions in data-driven environments.

Remote AWS SageMaker consultant - Mitesh T.
vetted-badge
Mitesh T.

Vetted AWS SageMaker developer in India (UTC+6)

Experienced Engineer with a strong background in software development, interface design, and data streaming solutions. Proficient in building complex event-driven micro service architecture on AWS and working with platforms like Open-Shift, Azure, and Google Cloud. Technology agnostic professional with 15 years of hands-on experience, adept at optimising resource utilisation, maximising systemStaff Engineer efficiency, and enhancing throughput. Skilled in mentoring teams, designing architecture, and implementing monitoring solutions for large-scale systems.

Remote AWS SageMaker expert - Mayank J.
vetted-badge
Mayank J.

Vetted AWS SageMaker developer in India (UTC+6)

I am an experienced software developer/researcher with over 12 years of experience (3 years in academia and then 9 years in the industry). I have worked in a diverse set of companies ranging from early stage startups to big internet companies. I believe I have a good knack of understanding a problem and coming up with a quick solution for it.

Remote AWS SageMaker programmer - madhur Y.
vetted-badge
madhur Y.

Vetted AWS SageMaker 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 AWS SageMaker programmer - Suman D.
vetted-badge
Suman D.

Vetted AWS SageMaker developer in India (UTC+6)

I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.

Remote AWS SageMaker expert - Vivek K.
vetted-badge
Vivek K.

Vetted AWS SageMaker developer in India (UTC+6)

With 7 years of hands-on engineering experience, spearheaded the development of real-time ecommerce backend systems, enhancing user engagement through enterprise-grade solutions; resulted in 20k new orders/day & reduced CAC by 47% for new users. Led & executed tech charter of the ~ 25 backend services in the org by tech simplification resulted in saving ~1000 $ / month with improved MMTD/MMTR.

Remote AWS SageMaker consultant - Rajarshi G.
Rajarshi G.

Remote AWS SageMaker developer in India (UTC+6)

Innovative, adaptable, and action-oriented data professional with 5 years of experience designing machine learning solutions to drive business growth and efficiency. Skilled in statistics, analytics, and software engineering. Expert in formulating data-driven decision-making based on ambiguous business requirements, driving scalable AI innovation. Collaborative team player with ability to efficiently deliver results and foster productive cross-departmental relationships. Ability to facilitate effective communication of insights and findings to stakeholders, empowering informed decision-making and propelling organizational success.

Remote AWS SageMaker architect - Abhishek R.
vetted-badge
Abhishek R.

Vetted AWS SageMaker developer in India (UTC+6)

I have over 8 years of experience in software development, specializing in Python, Flask, C/C++, microservices, AWS, and database management. I have worked at Microsoft, Intel, and Tetrasoft.

Discover more freelance AWS SageMaker developers today

View remote developers in other technologies.

Why Arc to find a AWS SageMaker developer for hire

Access vetted AWS SageMaker developers

Access vetted AWS SageMaker developers

Meet dedicated AWS SageMaker developers who are fully vetted for domain expertise and English fluency.

View matches in seconds

View matches in seconds

Stop reviewing 100s of resumes. View AWS SageMaker developers instantly with HireAI.

Save with global hires

Save with global hires

Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.

Get real human support

Get real human support

Feel confident hiring AWS SageMaker developers with hands-on help from our team of expert recruiters.

Excellent
tp-full-startp-full-startp-full-startp-full-startp-half-star

Why clients hire AWS SageMaker 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

How to use Arc

  1. 1. Tell us your needs

    Share with us your goals, budget, job details, and location preferences.

  2. 2. Meet top AWS SageMaker developers

    Connect directly with your best matches, fully vetted and highly responsive.

  3. star icon
    3. Hire AWS SageMaker developers

    Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.

Hire Top Remote
AWS SageMaker developers
in India

Arc talent
around the world

450K+

Arc AWS SageMaker developers
in India

2,083
Freelance AWS SageMaker developers in India

Ready to hire your ideal AWS SageMaker developers?

Get started

Top remote developers are just a few clicks away

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

Build your team of AWS SageMaker developers anywhere

Arc helps you build your team with our network of full-time and freelance AWS SageMaker developers worldwide.
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 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 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 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 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 developers 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 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 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 developers.

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 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 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 developers, read our Engineer Job Description Guide & Templates.

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

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 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 developers 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 developers, 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 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. 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 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 AWS SageMaker developer's 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 developer in 72 hours, or find a full-time AWS SageMaker 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 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 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.

Your future AWS SageMaker developer is
just around the corner!

Risk-free to get started.