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AWS Machine learning services (ML)
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Hire Freelance AWS Machine learning services (ML) Developers and Engineers

Maksym L., AWS Machine learning services (ML) Developer

Last Job: 29 Nov 2023

A seasoned software engineer and backend developer with over a decade of experience in the IT industry, specializing in complex backend systems, machine learning, and team leadership. Strong foundation in computer science with an MSc and a PhD in Applied Informatics and Machine Learning from Uzhgorod National University. Proficient in a breadth of technologies including Java, iOS, Android, JavaScript, PHP, Node.js, and Python. Demonstrated ability to spearhead development projects and manage teams, adopting Scrum methodologies and streamlining SDLC processes. Significant expertise in creating robust solutions using Node.js, PostgreSQL, and various cloud services. A proven track record in delivering scalable, high-quality applications for diverse industries, including finance, healthcare, e-commerce, and construction.

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Java

Java   12 yr.

Microsoft Azure API

Microsoft Azure API   5 yr.

Scrum

Scrum

Node.js

Node.js   3 yr.

Python

Python   3 yr.

View Maksym

Ihor K, AWS Machine learning services (ML) Developer

Last Job: 3 Jun 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

AWS Machine learning services (ML)

AWS Machine learning services (ML)

AWS big data services

AWS big data services

AWS Quicksight

AWS Quicksight

Python

Python

Apache Kafka

Apache Kafka

Data Pipelines (ETL)

Data Pipelines (ETL)

View Ihor

Taras S., AWS Machine learning services (ML) Developer

Last Job: 17 Jul 2024

Certified Data Scientist bringing an 3+ year commercial expertise, particularly in NLP, CV, and 3D modeling, underpinned by a solid foundation in machine learning and data processing. Commands an advanced proficiency in Python, complemented by adeptness in JavaScript and NodeJS. Demonstrates in-depth experience with Python libraries such as Pandas, numpy, and PyTorch, and excels in deploying solutions with Git, Docker and API development. Proven track record in industries such as SEO and logistics, leveraging statistical models and ML solutions to drive data insights and optimization. Renowned for transforming complex requirements into scalable algorithms and models, with academic credentials in Mechanical and Computer Engineering.

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python   3 yr.

Node.js

Node.js

Pandas

Pandas

NumPy

NumPy

ML

ML   2.5 yr.

View Taras

Vladyslav, AWS Machine learning services (ML) Developer

Last Job: 24 Jul 2024

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

AWS Machine learning services (ML)

AWS Machine learning services (ML)   4 yr.

Data Analysis

Data Analysis   4 yr.

Neural Networks

Neural Networks

Data Mining

Data Mining

Business Analysis

Business Analysis

View Vladyslav

Nazar P., AWS Machine learning services (ML) Developer

Last Job: 18 Aug 2023

- 0.5 years of experience - Data Scientist with a Machine Learning background - Upper-Intermediate English.

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python   0.5 yr.

View Nazar
5.0
Based on 9 reviews

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5.0
Based on 9 reviews
google
Maryna Navo September 25, 2023

Крутий сервіс, зручна комунікація. Допомогли з закриттям мого питання на 200%

google
Henry Akwerigbe August 30, 2023

This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management.There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more.It gets even better because many projects even allow full remote from anywhere!Nice job to the Upstaff Team 🙌🏽.

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Roman Masniuk August 25, 2023

I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!

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Volodymyr August 11, 2023

Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in.Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

google
Vitalii Stalynskyi August 29, 2023

I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog.When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly.Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.

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FAQs on AWS Machine learning services (ML) Development

What is a AWS Machine learning services (ML) Developer? Arrow

A AWS Machine learning services (ML) Developer is a specialist in the AWS Machine learning services (ML) framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a AWS Machine learning services (ML) Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened AWS Machine learning services (ML) Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a AWS Machine learning services (ML) Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on AWS Machine learning services (ML), then hiring a AWS Machine learning services (ML) Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified AWS Machine learning services (ML) Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a AWS Machine learning services (ML) Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire AWS Machine learning services (ML) Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire AWS Machine learning services (ML) Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of AWS Machine learning services (ML) Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a AWS Machine learning services (ML) Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a AWS Machine learning services (ML) Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is AWS Machine learning services (ML) used?

How and where
  • Customer Segmentation: Identify customer segments based on behavior
  • Recommendation Systems: Suggest products based on user preferences
  • Anomaly Detection: Detect fraudulent transactions
  • Forecasting: Predict sales trends accurately
  • Sentiment Analysis: Analyze customer reviews for sentiment
  • Personalization: Customize user experiences on websites

Compare Junior, Middle, Senior, and Expert/Team Lead AWS Machine learning services (ML) Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist with data preprocessing
  • Develop simple ML models
$70,000
Middle3-5 years
  • Optimize ML algorithms
  • Conduct model evaluations
$90,000
Senior6-8 years
  • Lead ML projects
  • Implement complex models
$110,000
Expert/Team Lead9+ years
  • Define ML strategies
  • Mentor team members
$130,000

Quick Facts about AWS Machine learning services (ML).

Facts about
  • Amazon Web Services (AWS) introduced its Machine Learning services in 2017.
  • Projects in e-commerce and healthcare greatly benefit from AWS ML services.
  • Entry to AWS ML requires basic knowledge of programming and data analysis.
  • AWS ML is often used alongside popular technologies like TensorFlow and PyTorch.
  • Did you know? AWS ML can predict customer behavior with scary accuracy!

TOP AWS Machine learning services (ML) Related Technologies

Related Technologies
  1. Amazon SageMaker
  2. (Amazon, 2017)

  3. TensorFlow
  4. (Google, 2015)

  5. PyTorch
  6. (Facebook, 2016)

  7. Apache MXNet
  8. (Apache Software Foundation, 2015)

  9. Microsoft Azure Machine Learning
  10. (Microsoft, 2018)

What are top AWS Machine learning services (ML) instruments and tools?

Instruments and tools
  • Amazon SageMaker: AWS’s flagship ML service
  • Amazon Comprehend: NLP and sentiment analysis
  • Amazon Rekognition: Image and video analysis

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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