DevOps Engineer Jobs in Kazakhstan

EPAM Anywhere is looking for DevOps Engineers in Kazakhstan.

Competitive compensation

We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.

Numerous benefits

Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.

Limitless career growth opportunities

Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.

senior machine learning engineer

Machine Learning Engineering

Amazon SageMaker, Amazon Web Services, Python

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, India, Kazakhstan, Kyrgyzstan, Uzbekistan

We are looking for a remote Senior Machine Learning Engineer to join our team and work on an exciting project involving Amazon Web Services.

The project requires the development and deployment of Machine Learning (ML) models using various AWS components and tools. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and implementing ML models, along with managing the entire ML lifecycle. You will also work closely with cross-functional teams and stakeholders to deliver high-quality ML solutions that meet business requirements.

responsibilities

Design, develop, and implement ML models using AWS components and tools, such as Amazon SageMaker
Manage the entire ML lifecycle, from data preparation to model deployment and monitoring
Work with cross-functional teams and stakeholders to understand business requirements and deliver high-quality ML solutions that meet those requirements
Develop and maintain ML documentation, such as model design, training, and testing results
Keep up-to-date with the latest ML technologies and trends, and apply them to improve existing ML solutions
Collaborate with the team members to enhance technical and soft skills

requirements

Minimum of 3 years of experience in Machine Learning Engineering
Proven experience in designing and deploying ML models using Amazon SageMaker and AWS ecosystem
Expertise in Python
Proficiency with entire ML lifecycle, from data preparation to model deployment and monitoring
Experience in working with cross-functional teams and stakeholders to deliver high-quality ML solutions
Strong communication skills, able to convey technical concepts to non-technical stakeholders
Fluent in English language, with at least an upper-intermediate level competency for effective communication with the team and stakeholders

nice to have

Experience in building model artifacts and deploying them to the AWS ecosystem

middle machine learning engineer

Machine Learning Engineering

Amazon SageMaker, Amazon Web Services, Python

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, India, Kazakhstan, Kyrgyzstan, Uzbekistan

We are seeking a remote Middle Machine Learning Engineer to join our team and work on a cutting-edge project that leverages the latest Amazon Web Services technologies.

As a member of our team, you will be responsible for the development and deployment of machine learning models that will be used to solve some of the most challenging problems in the industry. You should have a deep understanding of the entire ML lifecycle, including data preparation, model training, and deployment.

responsibilities

Develop machine learning models using Amazon SageMaker and other AWS technologies
Collaborate with cross-functional teams to identify business opportunities and translate them into machine learning problems
Work with massive datasets and distributed computing frameworks such as Spark or Hadoop to develop and test machine learning models
Deploy machine learning models to production using AWS technologies
Monitor model performance and make necessary changes to improve accuracy and efficiency
Contribute to the continuous improvement of the ML lifecycle and the development of best practices
Communicate effectively with stakeholders to ensure that ML solutions meet business requirements

requirements

At least 2 years of experience developing machine learning models
Expertise with Amazon SageMaker and other AWS technologies
Experience with the end-to-end ML lifecycle, including data preparation, model training, and deployment
Proficiency with Python and its associated libraries
Good understanding of software engineering principles and experience with software development best practices
Upper-Intermediate level of English proficiency

nice to have

Experience in building model artefacts and deployment to AWS ecosystem

senior microsoft power apps developer

Microsoft Power Apps

Microsoft Power BI, Power Automate, Python

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Poland

We are seeking a Senior Microsoft Power Apps Developer to join our remote team.

In this role, you will be responsible for creating user-friendly applications within the Power Apps platform, integrating data sources, implementing business logic, and providing training and support to end-users. Your expertise in Microsoft Power Platform components like Power Automate and Power BI, as well as Python and Azure DevOps, will enable you to excel in this role.

responsibilities

Create user-friendly applications using low-code or no-code methods within the Power Apps platform
Work closely with stakeholders to gather requirements and understand business needs
Integrate Power Apps with various data sources such as SharePoint, SQL Server, Excel, Dynamics 365, or other APIs to ensure seamless data flow and functionality within applications
Provide training and support to end-users on how to use Power Apps solutions effectively
Design and implement data models to support reporting and analytical requirements
Create visually compelling and interactive reports and dashboards using Power BI Desktop
Extract, transform, and load (ETL) data from various sources into Power BI using Power Query
Write and optimize Data Analysis Expressions (DAX) formulas to perform calculations, define measures, and create calculated columns for advanced analytics and KPI tracking
Design and develop automated workflows to streamline business processes and improve productivity
Analyze business requirements and design solutions using Power Automate to meet the needs of stakeholders

requirements

At least 3 years of experience working with Microsoft Power Apps, including canvas apps and model-driven apps
Expertise in data modeling and relational databases
A deep understanding of Microsoft Power Platform components such as Power Automate and Power BI
Experience with Microsoft Azure services and integration capabilities
Proven experience in Power BI Desktop, data modeling, report design, and DAX programming
Strong knowledge of data warehousing concepts, ETL processes, and dimensional modeling principles
Experience with SQL querying and relational database management systems (e.g., SQL Server, Azure SQL Database)
Familiarity with data visualization best practices and design principles
Proficiency in Microsoft Power Automate, including creating automated flows, configuring triggers and actions, and designing complex workflows
Strong understanding of business process automation concepts and workflow automation best practices
B2+ English level

nice to have

Experience with Azure DevOps for CI/CD

lead microsoft power apps developer

Microsoft Power Apps

Microsoft Power BI, Power Automate, Python

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Poland

We are currently seeking a Lead Microsoft Power Apps Developer to join our remote team.

In this role, you will be responsible for creating user-friendly applications using low-code or no-code methods within the Power Apps platform, implementing business logic, and integrating data sources. Your primary focus will be on developing and optimizing Power Apps, Power BI, and Power Automate solutions. As a Lead Developer, you are expected to lead and mentor a team of developers and ensure timely delivery of high-quality solutions.

responsibilities

Lead a team of developers to design, develop and optimize Power Apps, Power BI, and Power Automate solutions
Collaborate with stakeholders to gather requirements, design, and implement solutions to meet their needs
Integrate Power Apps with various data sources such as SharePoint, SQL Server, Excel, Dynamics 365, or other APIs to ensure seamless data flow and functionality within applications
Create visually compelling and interactive reports and dashboards using Power BI Desktop
Design and develop automated workflows to streamline business processes and improve productivity
Provide training and support to end-users on how to use Power Apps solutions effectively

requirements

5+ years of experience as a Microsoft Power Apps Developer with a strong understanding of data modeling and relational databases
At least 1 year of experience in leading software development teams, demonstrating excellent leadership skills
Experience with Microsoft Power Platform components such as Power Automate and Power BI
Strong knowledge of Microsoft Azure services and integration capabilities
In-depth knowledge of Power BI Desktop, including data modeling, report design, and DAX programming
Experience with workflow automation and designing complex workflows using Power Automate
Proficiency in Python and Azure DevOps
Upper-intermediate level of English proficiency

nice to have

Experience with data warehousing concepts, ETL processes, and dimensional modeling principles

DevOps Engineer Jobs in Kazakhstan

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