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Trusted by Businesses

Borys, Data Science Engineer

Ukraine
Last Updated: 7 Mar 2024

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

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Kubeflow

Kubeflow

Unified Modeling Language (UML)

Unified Modeling Language (UML)

Google Compute Engine (GCE)

Google Compute Engine (GCE)

Model-view-controller (MVC) pattern

Model-view-controller (MVC) pattern

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python

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Raman, DATA SCIENTIST/ MACHINE LEARNING ENGINEER

Poland
Last Updated: 25 Oct 2023

- 10+ years experience working in the IT industry; - 8+ years experience working with Python; - Strong skills with SQL; - Good abilities working with R and C++; - Deep knowledge of AWS; - Experience working with Kubernetes (K8s), and Grafana; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Experience working with Amazon S3, Athena, EMR, Redshift; - Specialised in Data Science and Data Analysis; - Work experience as a team leader; - Upper-Intermediate English.

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Kubeflow

Kubeflow

Python

Python   8 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Oleg B., ML Engineer/Big Data Architect

United Arab Emirates
Last Updated: 5 Aug 2023

- Over 15 years experience in leading the design, developing, and delivery of complex IT projects and high-performance solutions, +10 years in business intelligence and in the data analytics field - Advanced hands-on experience in reactive, microservices-based, distributed system design and development including stream application platforms for advanced analytics including machine learning and data science - Proficient Data Engineer-researcher focused on the immediate benefits for the business using Big Data tools (AWS Glue, AWS Greengrass, AWS EMR, AWS Data Lake) with advanced analytical and visualization APIs (graph DB – Titan, Neo4J, Tinkerpop, software development – Scala, Python) with CI/CD pipelines – Jenkins, Circle CI, GitLab actions - Generative AI - Q&A with multiple choices, pre-trained models (Hugging Faces ecosystem, T5, BERT, GPT), ChatBot for online gambling platform (LangChain, Pinecone, Cohere, Faiss, Hugging Face Hub) - Generative AI in NLP - information retrieval for 1) generate personalized recommendations for products or services based on a user's preferences and past behavior 2) summarize legal documents and contracts, making it easier for lawyers and legal professionals to review and analyze large volumes of legal documents. 3) create content such as product descriptions, blog posts, and social media posts - Recommendations platforms - mobile games platform (generate game recommendations based on player history, promo-offers, AWS Personalize ), self-learning algorithms for data-based risk management in agriculture (Monte-Carlo tree and Markov chains) - Upper-intermediate English. - Availability starting from ASAP

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Kubeflow

Kubeflow

ML

ML

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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.
Manager
Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Kubeflow 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.

Welcome to Upstaff

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
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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
Vitalii Stalynskyi
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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FAQs about Kubeflow Development

How do I hire a Kubeflow developer? Arrow

Are you desperately looking for a Kubeflow 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 Kubeflow 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 Kubeflow developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Kubeflow 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 Kubeflow 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 Kubeflow candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Kubeflow 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 Kubeflow 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 Kubeflow engineers in person. Make the right call. Bring a new Kubeflow 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 Kubeflow 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 Kubeflow 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 Kubeflow 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 Kubeflow developers. Upstaff has a network of vetted and tested Kubeflow developers. Here, you can hire web developers for a few simple coding tasks with Kubeflow.

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Table of Contents

How and where is Kubeflow used?

  • Model Training: Training ML models
  • Hyperparameter Tuning: Optimizing model parameters
  • Experiment Tracking: Tracking model training experiments
  • Model Serving: Serving ML models
  • AutoML: Automating machine learning workflows
  • Data Versioning: Managing data versioning
  • Multi-Framework Support: Supporting various ML frameworks
  • Scalability: Scaling ML workloads efficiently
  • Monitoring: Monitoring ML model performance
  • Resource Management: Efficiently managing computing resources

Compare Junior, Middle, Senior, and Expert/Team Lead Kubeflow Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in basic Kubeflow development tasks
  • Learn from Middle and Senior developers
$60,000
Middle3-5 years
  • Develop and implement Kubeflow solutions
  • Assist Junior developers
$80,000
Senior6-8 years
  • Lead Kubeflow projects
  • Mentor Middle and Junior developers
$100,000
Expert/Team Lead9+ years
  • Architect complex Kubeflow solutions
  • Lead teams, set technical direction
$120,000

Quick Facts about Kubeflow.

  • Kubeflow, the open-source machine learning toolkit for Kubernetes, was created in 2017.
  • It is widely used for projects involving machine learning pipelines, model serving, and hyperparameter tuning.
  • The entry threshold for using Kubeflow is having a basic understanding of Kubernetes and machine learning concepts.
  • Kubernetes is the most popular related technology to Kubeflow, as it provides the underlying container orchestration.
  • Fun Fact: Kubeflow’s logo is a cute Kubeflow octopus, symbolizing its flexibility and adaptability in orchestrating ML workflows.

TOP Kubeflow Related Technologies

  1. TensorFlow
  2. PyTorch
  3. XGBoost
  4. Scikit-learn
  5. Keras

What are top Kubeflow instruments and tools?

  • Katib: Hyperparameter optimization tool by Google, released in 2018
  • KFServing: Model serving toolkit by NVIDIA, released in 2019
  • Kubebench: Benchmarking tool by Google, released in 2020

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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.
Manager
Maria Lapko
Global Partnership Manager