Azure ML developer

An Azure ML developer designs, develops, and deploys machine learning models using Microsoft's Azure platform. They leverage Azure's ML Studio for creating, training, and deploying algorithms, and use Azure's data storage and processing capabilities for managing large datasets. They also implement data transformations and use feature engineering to optimize model performance. Additionally, they work with data scientists to understand business requirements, translate them into ML solutions, and integrate those into existing systems. They're responsible for monitoring model performance, ensuring data security, and continuously improving models based on new data and feedback.

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Azure ML developer

Hiring an Azure ML developer allows you to leverage Microsoft's powerful machine learning platform to create, deploy, and manage scalable AI solutions. They can help you transform data into actionable insights, making accurate predictions and automating decision-making processes. With their expertise, you can swiftly integrate machine learning models into applications and systems, enhancing operational efficiency, productivity, and business growth. They can also ensure data privacy and security, adhering to Microsoft's robust standards. Overall, an Azure ML developer provides valuable support in navigating the complexities of AI implementation.

Evgeny Brovkin

IT/Programming

Azure ML,

AWS,

Computer Vision,

Machine Learning,

Python,

Tensorflow,

Azure,

Data Scientists,

Machine Learning Engineer,

NLP,

pandas,

Python Numpy,

scikit-learn,

PyTorch

Alex Kosenko

IT/Programming

Azure ML,

Agile,

Project Management,

Scrum,

Web Development,

Confluence,

IT Management,

UML,

CI/CD methodologies,

Business Analysis,

Product Management

Kirill Konkov

IT/Programming

Azure ML,

Project Management,

SQL

Ruslan Tairov

IT/Programming

Azure ML,

Linux,

Juniper SRX,

PaloAlto,

SAS,

Team Lead,

BGP,

Juniper,

Ospf,

Juniper networks administration,

MPLS,

Network design,

Team Work,

Network Architecture

Mikhail Depeshko

IT/Programming

Azure ML,

DDD,

Docker,

Jenkins,

RabbitMQ,

REST,

SQL,

XML,

GitLab,

Kubernetes,

System Analysis,

UML,

Helm

Sharif Mulani

IT/Programming

Azure ML,

Java,

Linux,

Machine Learning,

nosql,

Oracle,

Python,

Spark,

SAP,

PyTorch,

Deep Learning

Evgeny Brovkin

IT/Programming

Azure ML,

AWS,

Computer Vision,

Machine Learning,

Python,

Tensorflow,

Azure,

Data Scientists,

Machine Learning Engineer,

NLP,

pandas,

Python Numpy,

scikit-learn,

PyTorch

Alex Kosenko

IT/Programming

Azure ML,

Agile,

Project Management,

Scrum,

Web Development,

Confluence,

IT Management,

UML,

CI/CD methodologies,

Business Analysis,

Product Management

Kirill Konkov

IT/Programming

Azure ML,

Project Management,

SQL

Ruslan Tairov

IT/Programming

Azure ML,

Linux,

Juniper SRX,

PaloAlto,

SAS,

Team Lead,

BGP,

Juniper,

Ospf,

Juniper networks administration,

MPLS,

Network design,

Team Work,

Network Architecture

Mikhail Depeshko

IT/Programming

Azure ML,

DDD,

Docker,

Jenkins,

RabbitMQ,

REST,

SQL,

XML,

GitLab,

Kubernetes,

System Analysis,

UML,

Helm

Sharif Mulani

IT/Programming

Azure ML,

Java,

Linux,

Machine Learning,

nosql,

Oracle,

Python,

Spark,

SAP,

PyTorch,

Deep Learning

Evgeny Brovkin

IT/Programming

Azure ML,

AWS,

Computer Vision,

Machine Learning,

Python,

Tensorflow,

Azure,

Data Scientists,

Machine Learning Engineer,

NLP,

pandas,

Python Numpy,

scikit-learn,

PyTorch

Alex Kosenko

IT/Programming

Azure ML,

Agile,

Project Management,

Scrum,

Web Development,

Confluence,

IT Management,

UML,

CI/CD methodologies,

Business Analysis,

Product Management

Kirill Konkov

IT/Programming

Azure ML,

Project Management,

SQL

Ruslan Tairov

IT/Programming

Azure ML,

Linux,

Juniper SRX,

PaloAlto,

SAS,

Team Lead,

BGP,

Juniper,

Ospf,

Juniper networks administration,

MPLS,

Network design,

Team Work,

Network Architecture

Mikhail Depeshko

IT/Programming

Azure ML,

DDD,

Docker,

Jenkins,

RabbitMQ,

REST,

SQL,

XML,

GitLab,

Kubernetes,

System Analysis,

UML,

Helm

Hiring an Azure Machine Learning (ML) developer can be game-changing for businesses seeking to harness the power of AI and machine learning. Azure ML developers bring expertise in a robust Microsoft platform that facilitates model development, training, and deployment at scale.

Firstly, they allow for rapid prototyping and deployment of machine learning models, reducing time-to-market. They can leverage Azure's pre-built AI capabilities to quickly implement solutions, without the need for extensive coding or data science knowledge.

Secondly, Azure ML developers can create models that seamlessly integrate with other Azure services and Microsoft products, enhancing business operations and decision-making processes. The compatibility with existing infrastructure minimizes disruption and maximizes efficiency.

Thirdly, they can help create secure and compliant solutions. Azure ML offers enterprise-level security, privacy, and compliance, ensuring data protection and regulatory adherence.

Moreover, Azure ML developers can help businesses leverage the cloud, enabling scalable solutions that grow with the business. The pay-as-you-go model also provides cost-effectiveness, as businesses only pay for what they use.

Lastly, they can help in harnessing the power of advanced analytics and AI to drive innovation, improve customer experiences, and gain a competitive advantage. Their expertise can help businesses unlock new insights, streamline operations, and create personalized experiences.

Only the best and the most experienced IT professionals

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Each professional has been selected for the highest level of expertise

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Free replacement of the specialist at the request of the customer

Professional's specific field of expertise