Hire Full-Stack ML Engineers

We provide you with qualified, remote machine learning engineers to make your project a success it is meant to achieve.

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Rizwan Mehdi

General Manager

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Zahab Shehzad

AI Engineer

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Usama Naseer

AI Engineer

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Faheem Wali

AI Engineer

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Usama Khawar

Python Developer

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Hassan Malik

Data Scientist

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Abdul Rehman Raza

Machine Learning Engineer

Our Clients

Our Clients

Talent Par Excellence

Many of you believe that data scientists are what you need, but many successful companies are hiring machine learning engineers to build AI products. We believe you should too! Building machine learning solutions doesn’t require specialists (statisticians). It’s essential to hire generalists – engineers who have experience using AI and know how to communicate effectively. Hire full stack ML Engineers
from vteams.

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Currently Available Machine Learning Engineers

Hire ML engineers on hourly, full-time, or part-time basis to take your project to the next level.

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Rizwan Mehdi

General Manager

Rizwan Mehdi is an experienced Project Manager and one of the brains behind vteams. He leads ML and AI teams.

CNC

Robotics

+5

Advance CAD/CAM

Testing

Timelines Development

BOM/BOQ

Negotiation

Hire Now
Home 41

Zahab Shehzad

AI Engineer

Zahab Shehzad is one of the AI Engineers who has a sound knowledge of related stacks and frameworks.

Python

ML/DL

+2

Data Science

Web Scrapping

Hire Now
Home 41

Usama Naseer

AI Engineer

Usama Naseer is an expert AI Engineer with expertise in Data Science. He takes up challenges and delivers them on time.

ML/DL

Data Science

+3

Web Scrapping

Python

ReactJS

Hire Now
Home 41

Faheem Wali

AI Engineer

Faheem Wali is an expert Data Scientist with a strong knack of analytics and numbers.

AI

Web Development

+3

Computer Vision

Python

ML/DL

Hire Now
Home 41

Usama Khawar

Python Developer

Usama Khawar is a Software Engineer with expertise in Python, AI, Data Science, and ML.

React JS

Django

+2

Python

AI

Hire Now
Home 41

Hassan Malik

Data Scientist

Hassan Malik is a qualified Data Scientist with strong analytical ability. He delves into problems to find the solution.

Python

Data Science

+2

Machine Learning

DL

Hire Now
Home 41

Abdul Rehman Raza

Machine Learning Engineer

Abdul Rehman Raza has an experience in the world of ML, AI, and other immersive technologies.

Javascript

HTML

+3

CSS

Git

Github

Hire Now

Process To Hire vteams

Choose

Choose from an extensive range of resources available for all stacks and services.

Interview

Interview your resources to get an idea of their skills and capabilities and see who suits you best.

Hire

Once you have chosen your desired resources, now is the time to hire them in your team.

Process To Hire vteams
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Choose

Choose from an extensive range of resources available for all stacks and services.

Machine Learning 10

Interview

Interview your resources to get an idea of their skills and capabilities and see who suits you best.

Hire

Once you have chosen your desired resources, now is the time to hire them in your team.

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Why vteams

Machine learning experts add value to the company’s growth by defining, evaluating, and implementing ML projects. You should hire ML engineers from vteams because we provide competent and creative professionals. Using their mathematical, statistical, and analytical skills, they can find the perfect solution to your complex problem. The goal of their work is to find innovative solutions to problems and create numerous possibilities for you.

ML Developers' Expertise

Qualities of a great ML engineer

Here are some characteristics of an experienced machine learning engineer:

  1. It is common for ML engineers to have a background in Computer Science or Software Engineering. Data structures, algorithms, computer architectures, computability, and complexity are some fantastic skills that vteams Machine Learning engineers possess.  
  1. If you must know, expertise in Linear Algebra, Mean, Median, Variance, Multivariate Calculus, Derivatives, Standard Deviations, Distributions, and Integrals is essential to acquire for ML engineers. 
  1. It is crucial to have a solid understanding of Mathematics, Statistics, and Probability because they form the basis of many machine learning algorithms.
  1. We have the best ML engineers who are creative and intuitive. 
  1. Developing ML algorithms and applications requires understanding data and deriving insights from it.
  1. An in-depth understanding of business.
  1. The role of an ML Engineer is highly demanding and versatile, making time management crucial.
  1. It is essential to have excellent communication skills (both written and verbal) in order to work in a team.
  1. It is a great asset for a company to have employees who are passionate about the work they do.

The job of a Machine Learning Engineer requires technical ability. Our belief is that MLEs stand out by developing extra skills that enhance their character. MLEs who want to stand out from the crowd can learn leadership traits as they instantly stand out from the crowd. We provide ML engineers who possess all of the above characteristics.

Reasons why your company needs a machine learning expert

Through the use of machine learning, an enterprise can increase its returns and become an industry leader. The benefits of machine learning are right for every organization, and here’s why:

Artificial intelligence and machine learning are terms you may be familiar with. It would be more accurate to ask how many of you have never heard of them. Isn’t that so? There has been a steady increase in interest in AI and machine learning over the years. Businesses have already begun investing in machine learning technologies to improve operations. 

Before hiring a machine learning expert, it is imperative to know what ML is, the reason behind it is needed, and what technologies they work on. We will explain the various facets of machine learning.

There is no shortage of data in today’s world. Every day, 2.5 quintillion data bytes are generated around the world. Data is created by every user every second at a rate of 1.7 MB. It is possible to process and analyze data in real-time. Making decisions based on accurate insights is a major benefit for organizations around the world. 

How are these data processed? It takes a lot of time and effort to manually collect, clean, and analyze big data. Machine learning algorithms and artificial intelligence tools help replace manual data processing. 

The use of machine learning in the business has a number of practical applications and benefits. Businesses should pay heed to investing time and effort in artificial intelligence and machine learning tools in order to compete in the market. In order to improve their business, SMEs and large enterprises need to understand machine learning. 

What ML engineers do is find robust solutions and meaningful insights from raw data and eliminate problems. Due to this, SMEs become more scalable and flexible by improving business functionalities and having perfect market opportunities. ML helps your startup or business in many ways. Such as:

  • Automate the data entry process. This is how the risk of human error while entering or analyzing data can be reduced. 
  • Analyze customer behavior and understand their needs. By doing this, you can effectively manage customer relationships and increase customer satisfaction.
  • Predictive maintenance can be used to prevent breakdowns and failures by discovering insights and patterns in the factory. This maximizes working time and minimizes losses. 
  • Data mining is a powerful tool for predicting customer buying trends as well as estimating their lifetime value. Segmenting customers this way helps. 
  • We are always available on chatbots 24/7. The chatbots help you interact with the customers and when constant feedback or suggestions are received, the quality of work delivered by the developers improved. 
  • Develop new security technologies to detect and prevent cyberattacks on enterprises. Ensure that employees’ systems and personal devices are fully protected.

ML Developers’ Expertise

Qualities of a great ML engineer

Here are some characteristics of an experienced machine learning engineer:

  1. It is common for ML engineers to have a background in Computer Science or Software Engineering. Data structures, algorithms, computer architectures, computability, and complexity are some fantastic skills that vteams Machine Learning engineers possess.  
  1. If you must know, expertise in Linear Algebra, Mean, Median, Variance, Multivariate Calculus, Derivatives, Standard Deviations, Distributions, and Integrals is essential to acquire for ML engineers. 
  1. It is crucial to have a solid understanding of Mathematics, Statistics, and Probability because they form the basis of many machine learning algorithms.
  1. We have the best ML engineers who are creative and intuitive. 
  1. Developing ML algorithms and applications requires understanding data and deriving insights from it.
  1. An in-depth understanding of business.
  1. The role of an ML Engineer is highly demanding and versatile, making time management crucial.
  1. It is essential to have excellent communication skills (both written and verbal) in order to work in a team.
  1. It is a great asset for a company to have employees who are passionate about the work they do.

The job of a Machine Learning Engineer requires technical ability. Our belief is that MLEs stand out by developing extra skills that enhance their character. MLEs who want to stand out from the crowd can learn leadership traits as they instantly stand out from the crowd. We provide ML engineers who possess all of the above characteristics.

Reasons why your company needs a machine learning expert

Through the use of machine learning, an enterprise can increase its returns and become an industry leader. The benefits of machine learning are right for every organization, and here’s why:

Artificial intelligence and machine learning are terms you may be familiar with. It would be more accurate to ask how many of you have never heard of them. Isn’t that so? There has been a steady increase in interest in AI and machine learning over the years. Businesses have already begun investing in machine learning technologies to improve operations. 

Before hiring a machine learning expert, it is imperative to know what ML is, the reason behind it is needed, and what technologies they work on. We will explain the various facets of machine learning.

There is no shortage of data in today’s world. Every day, 2.5 quintillion data bytes are generated around the world. Data is created by every user every second at a rate of 1.7 MB. It is possible to process and analyze data in real-time. Making decisions based on accurate insights is a major benefit for organizations around the world. 

How are these data processed? It takes a lot of time and effort to manually collect, clean, and analyze big data. Machine learning algorithms and artificial intelligence tools help replace manual data processing. 

The use of machine learning in the business has a number of practical applications and benefits. Businesses should pay heed to investing time and effort in artificial intelligence and machine learning tools in order to compete in the market. In order to improve their business, SMEs and large enterprises need to understand machine learning. 

What ML engineers do is find robust solutions and meaningful insights from raw data and eliminate problems. Due to this, SMEs become more scalable and flexible by improving business functionalities and having perfect market opportunities. ML helps your startup or business in many ways. Such as:

  • Automate the data entry process. This is how the risk of human error while entering or analyzing data can be reduced. 
  • Analyze customer behavior and understand their needs. By doing this, you can effectively manage customer relationships and increase customer satisfaction.
  • Predictive maintenance can be used to prevent breakdowns and failures by discovering insights and patterns in the factory. This maximizes working time and minimizes losses. 
  • Data mining is a powerful tool for predicting customer buying trends as well as estimating their lifetime value. Segmenting customers this way helps. 
  • We are always available on chatbots 24/7. The chatbots help you interact with the customers and when constant feedback or suggestions are received, the quality of work delivered by the developers improved. 
  • Develop new security technologies to detect and prevent cyberattacks on enterprises. Ensure that employees’ systems and personal devices are fully protected.
You Will Benefit From Working With Us

Certified Developers

Periodic Reporting

No Time Zone Limitations

Deadline Adherence

No Hidden Costs

Fully Dedicated Resources

Certified Developers

Deadline Adherence

No Time Zone Limitations

Fully Dedicated Resources

Periodic Reporting

No Hidden Costs

The Ideas We’ve Turned Into Reality

Our customers come from a variety of sectors, including Technology, Banking, Finance, Healthcare, Education, Retail, Industrials, eCommerce, Agriculture, ITES, FMCG, Media & Entertainment, and more.

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    Jovian Digital Solutions

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    Funai Corporation

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    EQUETICA

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    B360

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    OrthoCare on Demand

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    Fhetch LLC

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    BeRemote LLC

Testimonials

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My first impression with vteams was the sound structure, great services at an incredibly lower price!
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You Probably Have Questions

You Probably
Have Questions

Undergo the following frequently asked questions to obtain any info concerning various aspects of our company, products,
and services. For queries not included here, feel free to contact us.

Definitely. Our Business Developement Team schedules a Skype or Zoom interview with you before offering full-stack ML engineers.

Our agile project management system utilizes 100% online cloud-based tools to ensure continuous visibility and delivery to you.

We review their online profiles manually, verifying their technical background, work history, and other elements. We proceed to either a technical interview or a peer programming session to assess their hard skills. A call is scheduled for our onboarding process if everything goes smoothly.

To ensure the highest level of talent is matched with you, we thoroughly screen our machine learning engineers. Many plan to work for us, but we choose the best ones. Our engineers will work with you to understand your goals, technical needs, and team dynamics. Our network offers expertly vetted talent that is custom-matched to your business needs.

Technologies We Use

Work with the programming language that suits your business system. Regardless of your needs or existing tech stack, we remain flexible.