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Maksym L., Backend / ML developer

United States
Last Updated: 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.

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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.

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Ihor K, Big Data & Data Science Engineer with BI & DevOps skills

Ukraine
Last Updated: 5 Mar 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.

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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)

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Nazar P., Data Scientist

Vinnitsa, Ukraine
Last Updated: 18 Aug 2023

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

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AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python   0.5 yr.

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Amit, Expert Data Engineer

Last Updated: 4 Jul 2023

- 8+ year experience in building data engineering and analytics products (Big data, BI, and Cloud products) - Expertise in building Artificial intelligence and Machine learning applications. - Extensive design and development experience in AZURE, Google, and AWS Clouds. - Extensive experience in loading and analyzing large datasets with Hadoop framework (Map Reduce, HDFS, PIG and HIVE, Flume, Sqoop, SPARK, Impala), No SQL databases like Cassandra. - Extensive experience in migrating on-premise infrastructure to AWS and GCP clouds. - Intermediate English - Available ASAP

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AWS Machine learning services (ML)

AWS Machine learning services (ML)

Apache Hadoop

Apache Hadoop

Apache Kafka

Apache Kafka

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Dominik Z., RPA BluePrism Maintenance Specialist/ RPA Developer

Poland
Last Updated: 5 Feb 2024

- Five Years of Dedicated RPA Experience: Skilled in both development and maintenance with Blue Prism over a continuous five-year period, showcasing deep expertise in robotic process automation. - Fintech Sector Proficiency: Demonstrated experience in the fintech area, with a strong background in applying RPA solutions to financial services. - Expertise with Blue Prism: Proficient in designing processes, configuring objects, and maintaining robots using Blue Prism technology, ensuring efficient automation solutions. - Client Collaboration and Requirement Analysis: Proven ability in working closely with clients to understand requirements and provide tailored RPA solutions, enhancing client satisfaction and project success. - Comprehensive Maintenance and Training Skills: Experience in maintaining RPA systems, implementing changes, and training new employees, ensuring the seamless operation of automated processes. - Project Support and AI Implementation: Adept at supporting various projects, including the implementation of AI solutions in RPA, showcasing versatility and innovation. - Banking Sector Experience: Extensive engagement with financial sector clients, including a three-year tenure at PKO Leasing, underlining a strong understanding of banking processes and requirements. - Fluent English - Intermediate German - Native Polish

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AWS Machine learning services (ML)

AWS Machine learning services (ML)

blueprism

blueprism

UIPath

UIPath

Robotic Process Automation

Robotic Process Automation

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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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Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire AWS Machine learning services (ML) Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Henry Akwerigbe
Henry Akwerigbe
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 🙌🏽.
Vitalii Stalynskyi
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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.
Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
We've been with Upstaff for over 2 years, finding great long-term PHP and Android projects for our available developers. The support is constant, and payments are always on time. Upstaff's efficient processes have made our experience satisfying and their reliable assistance has been invaluable.
Roman Masniuk
Roman Masniuk
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!
Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
I discovered an exciting and well-paying project on Upstaff, and I couldn't be happier with my experience. Upstaff's platform is a gem for freelancers like me. It not only connects you with intriguing projects but also ensures fair compensation and a seamless work environment. If you're a programmer seeking quality opportunities, I highly recommend Upstaff.
Volodymyr
Volodymyr
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.

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Hire AWS Machine learning services (ML) engineer

FAQs about AWS Machine learning services (ML) Development

How do I hire a AWS Machine learning services (ML) developer? Arrow

Are you desperately looking for a AWS Machine learning services (ML) developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the AWS Machine learning services (ML) Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find AWS Machine learning services (ML) developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the AWS Machine learning services (ML) guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff AWS Machine learning services (ML) developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating AWS Machine learning services (ML) candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire AWS Machine learning services (ML) developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched AWS Machine learning services (ML) Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet AWS Machine learning services (ML) engineers in person. Make the right call. Bring a new AWS Machine learning services (ML) developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote AWS Machine learning services (ML) engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their AWS Machine learning services (ML) skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire AWS Machine learning services (ML) developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire AWS Machine learning services (ML) developers. Upstaff has a network of vetted and tested AWS Machine learning services (ML) developers. Here, you can hire web developers for a few simple coding tasks with AWS Machine learning services (ML).

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

  • 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).

  • 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

  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?

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

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Talk to Our Talent Expert

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