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Vetted AWS SageMaker developer in Canada (UTC-4)
Having spent over a decade as a cyber security professional, in various technical roles, I now work as a freelancer offering generative artificial intelligence (GenAI), machine learning and data science services to clients across many industries. Whether you are looking to build projects using large language models (LLM) or neural network-based classification systems or conduct predictive modelling, my goal is to help you make better data-driven, evidence-based business decisions. A geek at heart and an eternal student, I am a firm believer that science and technology can provide solutions to all problems. From pharmacology to environmental sustainability to the loneliness epidemic, AI and automation have the potential to eradicate the major ills plaguing the world. Yes, I, for one, unironically welcome our robot overlords! When I am away from the keyboard, I like to dabble in Go, a game I was inspired to learn after the release of the AlphaGo documentary. I also enjoy nature walks and discovering new cuisines. If you are interested in a conversation on how we can work together to engage your data for your business needs, please do reach out with a quick hello! E-mail: fzhang@exoins.com
Vetted AWS SageMaker 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
AWS SageMaker developer in Canada (UTC-3)
3+ years of experience as a Machine Learning Engineer and Data Scientist with expertise in developing and deploying machine learning solutions for dynamic business applications. Proficient in building predictive models, natural language processing (NLP) systems, and real-time data analytics solutions. Strong programming skills in Python, R, Java, JavaScript, and MATLAB, with experience in frameworks such as TensorFlow, PyTorch, Scikit-learn, Flask, and FastAPI. Expertise in big data technologies like Spark, Hadoop, Kafka, and Hive for processing and managing large datasets efficiently. Skilled in cloud computing platforms including AWS (S3, EC2, Lambda, Redshift, SageMaker), Google Cloud (BigQuery, Dataflow), and Azure for deployment and optimization. Advanced knowledge of database systems (SQL, MongoDB, Cassandra, PostgreSQL, Neo4j) and visualization tools (Tableau, Power BI, Matplotlib, Seaborn). Experienced in deploying RESTful APIs, integrating GraphQL, optimizing API performance, and managing API gateways for robust communication with ML models. Hands-on experience with CI/CD tools like Docker, Jenkins, Kubernetes, Terraform, and Apache Airflow for scalable and reliable deployment pipelines. Proficient in statistical modeling, time-series forecasting, classification, regression, clustering, anomaly detection, and advanced ensemble techniques. Strong skills in version control systems like Git and DVC for data and code management, ensuring reproducibility and collaboration. Passionate about solving real-world problems through data-driven insights, optimization algorithms, and cutting-edge AI solutions. Demonstrates efficiency in Structured Query Language (SQL) to access, retrieve, and manipulate data from databases on various platforms.
Vetted AWS SageMaker developer in Canada (UTC-7)
1. Industrial experience in developing data platforms. 2. Various development experiences on front-end, back-end, DevOps, data engineering, etc. 3. Solid knowledge of Java, JavaScript, React.js, Spark, etc. 4. Academic background in algorithms, data structure, machine learning, natural language processing, etc. 5. Prudent, diligent, detail-oriented, willing to take ownership.
Vetted AWS SageMaker developer in Canada (UTC-6)
Highly qualified, tenacious, and well-accomplished IT professional. Fast learner, problem-solver with can-do attitude,willing to deliver high quality software. Armed with broad-based background and skills in the areas of providing appropriate solution to IT and software needs. Outstanding ability to plan, coordinate, implement strategic development practices and client business transformation procedures to bring significant improvements in efficiency, productivity and technical processes, towards the successful attainment of organizational goals. ➢ Experience in Single Page App using AngularJs, NodeJS and MongoDB; ➢ Experience in developing responsive apps. ➢ Experience in Environment Linux ➢ Working with agile methodologies since 2010. ➢ Experience with specialized systems for Engineers
Vetted AWS SageMaker developer in Canada (UTC-4)
Experienced software architect and developer with over a decade of expertise in building cloud-based applications. I specialize in web development, creating scalable, high-performance solutions, and have extensive experience in machine learning, including developing predictive models and integrating AI features to enhance applications. Proficient across the full software development lifecycle, I excel at understanding complex codebases, addressing bugs, refactoring for performance, and implementing new features to meet evolving requirements. Committed to Object-Oriented Programming principles and design patterns, I ensure code is clean, maintainable, and scalable. I focus on delivering well-tested, reliable solutions that support long-term success. I thrive in collaborative environments, valuing open communication and innovative problem-solving. Driven by a passion for technical excellence, I consistently deliver solutions that align with user needs and business goals.
Vetted AWS SageMaker developer in Canada (UTC-3)
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 SageMaker developer in Canada (UTC-3)
I'm a Machine Learning Solution Architect with over 10 years of experience in the field, specializing in the Biomedical, Finance, and Manufacturing sectors. I always strive to develop solutions that prioritize the end-user's needs. Beyond my technical skills, I'm recognized for my positive attitude and reliability in managing challenging projects. I'm passionate about both sharing my knowledge and continuing to learn.
AWS SageMaker developer in Canada (UTC-8)
6+ years of experience in FullStack Web/Mobile development. Procient in React and TypeScript.
Vetted AWS SageMaker developer in Canada (UTC-4)
Manish is a full stack developer and a GCP certified system architect. In past he has worked on building low latency FX Options auto trading system, analytics app/chat bot using Java, Reactjs, python and KDB+ for HSBC, financial product benchmarking and alerting application for UBS, B2C CRM product for Oracle. He is passionate about distributed system, love to take part in hackathons and play tennis.
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Ready to hire your ideal AWS SageMaker developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.