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Why Hire AI Developers from YTII?

Expertise in AI Technologies and Models(1)

Expertise in AI Technologies and Models

We excel in AI technologies and models, customizing and deploying advanced algorithms and neural networks for seamless integration and transformative results. Stay ahead in the AI landscape with our cutting-edge proficiency.

Well-versed with Advanced Machine Learning Algorithms

Well-versed with Advanced Machine Learning Algorithms

At YTII, we use Advanced Machine Learning Algorithms to extract insights from complex data sets. Our cutting-edge techniques help enhance business outcomes through intelligent decision-making.

Deep Learning Expertise

Deep Learning Expertise

YTII specializes in deep learning. Our team experienced team harnesses the power of neural networks for complex tasks, from recognition to NLP. We deliver innovative solutions that redefine AI technology.

Proficient in Creating AI Automation Solutions

Proficient in Creating AI Automation Solutions

With a wealth of experience, our team excels in crafting cutting-edge AI automation solutions. From streamlining workflows to enhancing decision-making processes, we leverage advanced technologies to revolutionize your operations.

Knowledgeable in Data Engineering Methods

Knowledgeable in Data Engineering Methods

We specialize in data engineering, unlocking the full potential of your data. Count on us for efficient data collection, transformation, and storage. Let us unleash the power of your data assets.

Advanced Proficiency in Distributed Computing

Advanced Proficiency in Distributed Computing

Our expert team excels in distributed computing, harnessing the power of cutting-edge technologies for high-performance operations. Partner with us for scalable solutions and exceptional results.

Empowering Brand Growth Together

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    0Certified Professionals
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    0Successful Projects
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    0Client Retention

Why Hire an AI Developer from India?

India is the top choice to hire software developers due to its lower labor costs. It allows businesses to maximize their budget while accessing a vast pool of skilled IT professionals.

  • Country
  • Offshore Developer Rates (Hourly)
  • India
  • $25-$50
  • Singapore
  • $35-$55
  • Poland
  • $30-$60
  • Canada
  • $55-$80
  • USA
  • $50-$180

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Technical Expertise of our Dedicated AI Developers

Technology Stack

Remote team of software engineers in any technology stack

OpenAI Models

gtplogo
GA with Whisper
gtplogo
GPT 3.5

AI Frameworks

Tensorflow_logo
Tensor Flow
PyTorch_logo_icon-1
PyTorch
Keras_logo
Keras

Cloud Platforms

aws-icon 40583b9485486616cc310cf5c5282b85 Microsoft_Azure_Logo

Integration Deployment Tool

horizontal-logo-monochromatic-white Kubernetes_logo_PNG7 Ansible_logo

Programing Languages

r python javascript

Database

MySQL-Logo Postgresql_elephant

Hire Developers For 360-degree Development Services.

Hire developers across different tech-stack from a pre-vetted talent pool of mid to senior-level software engineers to scale your project quickly and efficiently. With YTII, you get offshore programmers with extensive industry experience who fast-forward your project development.

Technology Stack

Remote team of software engineers in any technology stack

Enterprise

Hire experienced software engineers to build highly scalable, secure, resilient, future-ready enterprise solutions.

Mobility

Our expert mobility programmers can help you create engaging mobile applications using all the latest technologies.

JS Frontend & Backend

We have experienced developers in both front-end and backend development to speed up server-side or client-side applications.

Full Stack

Hire a team of Full Stack developers to power the end-to-end development of your applications at speed.

AI Development Services We Offer

AI Consulting

AI Consulting

Tap into the proficiency of our AI engineers to embrace AI-powered solutions. Bring AI developers to receive guidance and assistance in enhancing your business's performance through AI technologies. Our AI engineers will assess your requirements, design the necessary AI solutions, and oversee their implementation within your IT infrastructure.

AI Development

AI Development

AI is crucial for businesses that want to stay competitive and innovative. Our AI development services provide scalable solutions that harness the full potential of these technologies. With our expertise and proven track record, we have effectively implemented the best AI practices. Explore endless AI-driven innovation with confidence.

AI Models Maintenance

AI Models Maintenance

Maintaining AI models is crucial for the optimal performance of your intelligent systems. Our AI Models Maintenance services keep your solutions robust, reliable, up-to-date, and aligned with your ever-changing business needs so you can concentrate on what matters most - driving your business forward.

Intelligent Automation

Intelligent Automation

We integrate RPA, NLP, and Virtual agents to enhance business operations. Our skilled AI developers work with you to implement intelligent automation in your business functions. Harness the power of AI technologies to construct self-learning processes that automate and optimize your operations by hiring AI developers.

ChatGPT Development

ChatGPT Development

Our ChatGPT Development services create smart chatbots and virtual assistants tailored to your needs. We specialize in designing chatbots that perform various tasks, including customer support and lead generation. Personalize the conversation flow and responses to align with your brand voice and values.

LLM Development

LLM Development

Our LLM Development services create custom language models that can interact with text intelligently. Access to powerful and versatile language models can transform the capabilities of your applications in advanced language processing. Leverage the latest AI advancements for cutting-edge language capabilities in your applications.

Our AI Success Stories

Hire AI Developers from YTII in just 4 Steps

Collaborate with YTII to easily hire AI developers. Get access to a pool of 200+ vetted experts and onboard them in just two weeks to initiate your development process.

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Share Your Project
Requirements
1

Expert team ready to make your tech journey smoother and more successful.

of2
Identifying Your Ideal
Talent Pool
2

Get expertly matched talent within 48 hours. Choose your ideal candidates confidently.

of3
Lead the Interview
Process
3

Engage in interviews with pre-vetted tech professionals. Find your perfect match!

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Seamless Onboarding
from Anywhere
4

We set up perfect frameworks, guide and support your onboarding process.

YTII’s Assurance for Hiring AI Engineers

7-Day Free Trial

7-Day Free Trial

Enjoy free 40 hours of our talented developers’ time on your project development.

Free Consultation

Free Consultation

Talk to our experts and get a free consultation on your project idea, best-suited technology, resource planning, and TAT.

Alignment with Sr.Tech-lead

Alignment with Sr. Tech-lead

We assign a senior developers/tech-lead to all our client projects. Besides this, our CTO actively overlooks all projects to assist, supervise and guide the team.

The Ultimate Guide to Hire AI Developers

Step 1 - Outline Your Project, Requirements, and Budget

When bringing AI developers on board, articulate your project requirements clearly. This ensures prospective candidates understand and align with your expectations. Set up a mutually agreeable contract detailing crucial aspects of your collaboration, such as budget, timelines, and consequences for non-compliance.

Step 2- Establish a Recruitment Funnel

Once you've identified the candidates you want to recruit, following a methodical process is essential. To recruit AI developers, we have created a unique framework that divides our hiring process into distinct stages similar to a sales funnel. This framework is known as our 'hiring funnel.' It helps us to streamline our recruitment process and ensures that we are thorough in our assessment of candidates.

  • Candidate Evaluation

During this phase, we evaluate candidates based on their relevant experience and passion for technology.

  • Portfolio Assessment for Hiring AI Developers

It is crucial to examine the projects in which your candidate has participated during the hiring process for AI developers. This involves evaluating their roles, contribution levels, project outcomes, and any recommendations from past employers. Thoroughly assessing their profile is a necessary step that cannot be overlooked.

  • Skills Assessment

During our recruitment process, we evaluate the candidate's level of interest in joining our company. We ask them to complete a task that may or may not be familiar to them. This helps us determine their problem-solving abilities, even when working with an unfamiliar framework or library. By investing a few hours in this task, the candidate demonstrates their willingness to take on challenges and showcases their skills to us.

  • Technical Assessment

In our evaluation, we ask open-ended JavaScript questions to assess candidates' knowledge, problem-solving approach, and thought processes.

  • Providing Detailed Feedback

Once we have evaluated the candidate's knowledge, we will provide them with detailed feedback on the test task and technical evaluation. We will also offer resources that can help them improve in any identified areas of weakness. Throughout the process, we welcome feedback on your experience to ensure that we are meeting your needs and expectations.

  • Interview Process

At this stage, we evaluate

  • Technical Proficiency
  • Soft Skills 
  • Cultural Alignment 

Step 3 - Connect with Our Team to Discuss Your Experience and get the Best Fit

After completing this comprehensive process, we value your input and insights. Let's engage in a conversation to delve deeper into your experiences and identify the optimal fit for you within our organization.

  • Enhance Customer Experience with Real-Time Support

Deliver exceptional customer experiences that set your company apart from competitors through real-time support. By employing AI engineers, businesses can engage with many customers daily, significantly reducing the risk of communication errors.

  • Elevate Personalized Shopping Experiences

Every online business can increase sales by offering a more personalized shopping experience. With AI's ability to understand human behavior through browsing history and past purchases, companies are increasingly adopting it. This results in more accurate and tailored offers for each customer.

  • Data Analysis with Cloud-Based AI

Leveraging cloud-based AI for handling large datasets enables the swift identification of crucial and relevant consumer insights. This allows for extracting exceptionally detailed customer information, contributing to improved customer service. Employing AI Engineers can provide your business with a competitive edge, resulting in significant commercial advantages.

  • Innovation and Competitive Advantage

With their deep expertise in ML and AI, AI developers can deliver innovative solutions to your business challenges. They will craft outstanding AI-driven solutions that set your company apart and provide a competitive edge.

  • Enhanced Efficiency and Automation

Engaging AI developers to design intelligent systems automates repetitive and time-consuming tasks within your business. This enhances process efficiency, minimizes human errors, and allows your workforce to concentrate on more intricate and strategic endeavors. 

  • Enhanced Decision-Making

AI developers employ Machine Learning algorithms to scrutinize extensive datasets, unveil patterns, and furnish invaluable insights, enabling more precise and efficient data-driven decision-making.

  • Cost Efficiency

AI developers play a pivotal role in cost savings by streamlining and automating business operations. Hiring AI engineers to devise solutions that optimize resource allocation, boost productivity, and minimize waste leads to reduced operational expenses.

  • Tailored Customer Experiences

Delivering outstanding customer experiences is paramount. Enlisting AI developers can lead to the development of recommendation systems, virtual assistants, or chatbots, enriching customer interactions and ensuring top-tier personalized experiences.

  • Enhanced Quality and Precision

AI developers can enable the development of AI models that enhance quality and accuracy in areas such as NLP, predictive analysis, or image recognition. This translates to more precise decision-making, improved customer service, and heightened overall performance.

  • Technical Proficiency

AI developers should be adept at crafting artificial intelligence algorithms and systems from the ground up. Proficiency in coding languages like Java, Python, or R is crucial for effective AI development.

  • Critical Thinking Proficiency

Critical thinking skills are vital for AI Developers who create and deploy artificial intelligence systems. These skills encompass comprehending abstract and intricate concepts, recognizing patterns, and delving into the fundamental principles underlying AI. Key aspects of AI developers' critical thinking abilities involve data interpretation, pattern recognition, algorithmic thinking, effective communication, debugging, and troubleshooting.

  • Teamwork and Collaboration Aptitude

Collaborative skills are paramount for AI developers. They must excel in group settings, contributing valuable insights into machine learning models. Additionally, they must possess strong communication abilities and collaborate closely with project managers, stakeholders, and engineers to meet project goals within set timelines.

  • Analytical Problem-Solving Abilities

AI developers play a crucial role in resolving technical challenges. They address real issues that arise during the development and implementation of AI models, whether they are technical or unexpected challenges encountered during testing.

  • Advanced Machine Learning and Algorithmic Expertise

While Artificial Intelligence is still on the path to achieving true machine intelligence, proficiency in machine learning and algorithms empowers AI Developers to think strategically and creatively. They must also possess the ability to think critically and anticipate potential unforeseen factors that could come into play.

  • Proficiency in Data Analysis

AI developers dealing with extensive datasets in platforms like big data, Flash, and Hadoop systems require a strong foundation in data science. This skill set involves managing and refining datasets to extract valuable information for training sets. It encompasses languages like R, Scala, Java, and Python. Seasoned AI engineers conduct predictive analysis, learn from historical data, and retrieve information from public-facing APIs.

  • Ability to Distinguish Between AI and Human Behavior

AI developers must grasp human thought processes and behaviors to create artificial intelligence effectively. They must identify trends and regularities in human behavior and fine-tune AI systems accordingly. For example, when crucial data is absent, specific AI systems may require human intervention to learn through backpropagation.

To provide a quick information at a glance, check out the table below:

Category

Tech Options

Programming Languages

Java, Python, C++, R

Deep Learning Frameworks

Caffe, Keras, MXNet

Machine Learning Frameworks

TensorFlow, Scikit-Learn, PyTorch, OpenCV

Data Processing and Visualization

Apache Spark, Matplotlib, Pandas, and Seaborn

Natural Language Processing Libraries

Natural Language Toolkit (NLTK), Transformers, SpaCy, Gensim

Data Science

Pandas, SciPy and NumPy

Cloud Platform and Services

Amazon Web Services, Microsoft Azure, Google Cloud Platform

Deployment and Product Ionization

Docker, Flask, Django, and Kubernetes

AI engineering is an expansive domain encompassing many responsibilities for artificial intelligence engineers. These professionals are tasked with innovative problem-solving as they develop cutting-edge AI products. Moreover, they shoulder the responsibility of upkeeping existing AI systems and infrastructure.

Given the widespread integration of AI across diverse industry sectors, the roles and responsibilities of artificial intelligence engineers have broadened to encompass areas like:

  • Designing and implementing AI algorithms

Smart AI algorithms work together with iterative processing to facilitate software automation. The artificial intelligence engineer is responsible for writing the crucial code required for the machine's operation.

  • Establishing data science infrastructure

AI engineers establish and administer AI infrastructure for data extraction and analysis.

  • Software design

AI engineers must possess proficiency in machine learning, model development, and validation. They are tasked with assessing and determining if an AI system can effectively fulfill its intended purpose.

  • Natural Language Processing

With the increasing use of intelligent automation and voice-activated systems, the role of artificial intelligence engineers has expanded to include Natural Language Processing as a crucial responsibility. The accuracy and speed of comprehension of human speech are essential for voice-activated assistants like Siri or Alexa and self-driving vehicles, and it's the AI engineers who make it possible.

  • Image Processing

Artificial intelligence is widely used for surveillance and monitoring worldwide. These systems can observe their surroundings and respond accordingly based on pre-defined parameters set by the AI engineers who develop them. Furthermore, image processing is also a part of the AI engineer's responsibilities.

  • Data Analytics


Artificial Intelligence Engineers gather and scrutinize data using machine learning algorithms to pinpoint lackings. The responsibilities of artificial intelligence engineers encompass guaranteeing that the AI tools are consistently updated in alignment with advancements, ensuring they continue to provide operational advantages to users.

Here are a few questions to ask before you hire developers

  • Describe Stochastic Gradient Descent (SGD) using your own understanding and terms.
  • Explain the concept of 1x1 convolution in convolutional neural networks and its intended application.
  • Detail your approach for clustering documents into semantically similar groups, considering their content.
  • Elaborate on the connection between Gaussian Mixture Models and the k-means clustering algorithm.
  • Provide an instance of AI application in a business context.
  • List the seven categories of AI.
  • List some regularization methods used in Deep Learning models.
  • Explain the rationale behind labeling the naïve Bayes algorithm as “naïve.”
  • Detail how to build an e-commerce recommendation system similar to Amazon’s “People who bought this item, also bought…”

Step 1 - Outline Your Project, Requirements, and Budget

When bringing AI developers on board, articulate your project requirements clearly. This ensures prospective candidates understand and align with your expectations. Set up a mutually agreeable contract detailing crucial aspects of your collaboration, such as budget, timelines, and consequences for non-compliance.

Step 2- Establish a Recruitment Funnel

Once you've identified the candidates you want to recruit, following a methodical process is essential. To recruit AI developers, we have created a unique framework that divides our hiring process into distinct stages similar to a sales funnel. This framework is known as our 'hiring funnel.' It helps us to streamline our recruitment process and ensures that we are thorough in our assessment of candidates.

  • Candidate Evaluation

During this phase, we evaluate candidates based on their relevant experience and passion for technology.

  • Portfolio Assessment for Hiring AI Developers

It is crucial to examine the projects in which your candidate has participated during the hiring process for AI developers. This involves evaluating their roles, contribution levels, project outcomes, and any recommendations from past employers. Thoroughly assessing their profile is a necessary step that cannot be overlooked.

  • Skills Assessment

During our recruitment process, we evaluate the candidate's level of interest in joining our company. We ask them to complete a task that may or may not be familiar to them. This helps us determine their problem-solving abilities, even when working with an unfamiliar framework or library. By investing a few hours in this task, the candidate demonstrates their willingness to take on challenges and showcases their skills to us.

  • Technical Assessment

In our evaluation, we ask open-ended JavaScript questions to assess candidates' knowledge, problem-solving approach, and thought processes.

  • Providing Detailed Feedback

Once we have evaluated the candidate's knowledge, we will provide them with detailed feedback on the test task and technical evaluation. We will also offer resources that can help them improve in any identified areas of weakness. Throughout the process, we welcome feedback on your experience to ensure that we are meeting your needs and expectations.

  • Interview Process

At this stage, we evaluate

  • Technical Proficiency
  • Soft Skills 
  • Cultural Alignment 

Step 3 - Connect with Our Team to Discuss Your Experience and get the Best Fit

After completing this comprehensive process, we value your input and insights. Let's engage in a conversation to delve deeper into your experiences and identify the optimal fit for you within our organization.

  • Enhance Customer Experience with Real-Time Support

Deliver exceptional customer experiences that set your company apart from competitors through real-time support. By employing AI engineers, businesses can engage with many customers daily, significantly reducing the risk of communication errors.

  • Elevate Personalized Shopping Experiences

Every online business can increase sales by offering a more personalized shopping experience. With AI's ability to understand human behavior through browsing history and past purchases, companies are increasingly adopting it. This results in more accurate and tailored offers for each customer.

  • Data Analysis with Cloud-Based AI

Leveraging cloud-based AI for handling large datasets enables the swift identification of crucial and relevant consumer insights. This allows for extracting exceptionally detailed customer information, contributing to improved customer service. Employing AI Engineers can provide your business with a competitive edge, resulting in significant commercial advantages.

  • Innovation and Competitive Advantage

With their deep expertise in ML and AI, AI developers can deliver innovative solutions to your business challenges. They will craft outstanding AI-driven solutions that set your company apart and provide a competitive edge.

  • Enhanced Efficiency and Automation

Engaging AI developers to design intelligent systems automates repetitive and time-consuming tasks within your business. This enhances process efficiency, minimizes human errors, and allows your workforce to concentrate on more intricate and strategic endeavors. 

  • Enhanced Decision-Making

AI developers employ Machine Learning algorithms to scrutinize extensive datasets, unveil patterns, and furnish invaluable insights, enabling more precise and efficient data-driven decision-making.

  • Cost Efficiency

AI developers play a pivotal role in cost savings by streamlining and automating business operations. Hiring AI engineers to devise solutions that optimize resource allocation, boost productivity, and minimize waste leads to reduced operational expenses.

  • Tailored Customer Experiences

Delivering outstanding customer experiences is paramount. Enlisting AI developers can lead to the development of recommendation systems, virtual assistants, or chatbots, enriching customer interactions and ensuring top-tier personalized experiences.

  • Enhanced Quality and Precision

AI developers can enable the development of AI models that enhance quality and accuracy in areas such as NLP, predictive analysis, or image recognition. This translates to more precise decision-making, improved customer service, and heightened overall performance.

  • Technical Proficiency

AI developers should be adept at crafting artificial intelligence algorithms and systems from the ground up. Proficiency in coding languages like Java, Python, or R is crucial for effective AI development.

  • Critical Thinking Proficiency

Critical thinking skills are vital for AI Developers who create and deploy artificial intelligence systems. These skills encompass comprehending abstract and intricate concepts, recognizing patterns, and delving into the fundamental principles underlying AI. Key aspects of AI developers' critical thinking abilities involve data interpretation, pattern recognition, algorithmic thinking, effective communication, debugging, and troubleshooting.

  • Teamwork and Collaboration Aptitude

Collaborative skills are paramount for AI developers. They must excel in group settings, contributing valuable insights into machine learning models. Additionally, they must possess strong communication abilities and collaborate closely with project managers, stakeholders, and engineers to meet project goals within set timelines.

  • Analytical Problem-Solving Abilities

AI developers play a crucial role in resolving technical challenges. They address real issues that arise during the development and implementation of AI models, whether they are technical or unexpected challenges encountered during testing.

  • Advanced Machine Learning and Algorithmic Expertise

While Artificial Intelligence is still on the path to achieving true machine intelligence, proficiency in machine learning and algorithms empowers AI Developers to think strategically and creatively. They must also possess the ability to think critically and anticipate potential unforeseen factors that could come into play.

  • Proficiency in Data Analysis

AI developers dealing with extensive datasets in platforms like big data, Flash, and Hadoop systems require a strong foundation in data science. This skill set involves managing and refining datasets to extract valuable information for training sets. It encompasses languages like R, Scala, Java, and Python. Seasoned AI engineers conduct predictive analysis, learn from historical data, and retrieve information from public-facing APIs.

  • Ability to Distinguish Between AI and Human Behavior

AI developers must grasp human thought processes and behaviors to create artificial intelligence effectively. They must identify trends and regularities in human behavior and fine-tune AI systems accordingly. For example, when crucial data is absent, specific AI systems may require human intervention to learn through backpropagation.

To provide a quick information at a glance, check out the table below:

Category

Tech Options

Programming Languages

Java, Python, C++, R

Deep Learning Frameworks

Caffe, Keras, MXNet

Machine Learning Frameworks

TensorFlow, Scikit-Learn, PyTorch, OpenCV

Data Processing and Visualization

Apache Spark, Matplotlib, Pandas, and Seaborn

Natural Language Processing Libraries

Natural Language Toolkit (NLTK), Transformers, SpaCy, Gensim

Data Science

Pandas, SciPy and NumPy

Cloud Platform and Services

Amazon Web Services, Microsoft Azure, Google Cloud Platform

Deployment and Product Ionization

Docker, Flask, Django, and Kubernetes

AI engineering is an expansive domain encompassing many responsibilities for artificial intelligence engineers. These professionals are tasked with innovative problem-solving as they develop cutting-edge AI products. Moreover, they shoulder the responsibility of upkeeping existing AI systems and infrastructure.

Given the widespread integration of AI across diverse industry sectors, the roles and responsibilities of artificial intelligence engineers have broadened to encompass areas like:

  • Designing and implementing AI algorithms

Smart AI algorithms work together with iterative processing to facilitate software automation. The artificial intelligence engineer is responsible for writing the crucial code required for the machine's operation.

  • Establishing data science infrastructure

AI engineers establish and administer AI infrastructure for data extraction and analysis.

  • Software design

AI engineers must possess proficiency in machine learning, model development, and validation. They are tasked with assessing and determining if an AI system can effectively fulfill its intended purpose.

  • Natural Language Processing

With the increasing use of intelligent automation and voice-activated systems, the role of artificial intelligence engineers has expanded to include Natural Language Processing as a crucial responsibility. The accuracy and speed of comprehension of human speech are essential for voice-activated assistants like Siri or Alexa and self-driving vehicles, and it's the AI engineers who make it possible.

  • Image Processing

Artificial intelligence is widely used for surveillance and monitoring worldwide. These systems can observe their surroundings and respond accordingly based on pre-defined parameters set by the AI engineers who develop them. Furthermore, image processing is also a part of the AI engineer's responsibilities.

  • Data Analytics


Artificial Intelligence Engineers gather and scrutinize data using machine learning algorithms to pinpoint lackings. The responsibilities of artificial intelligence engineers encompass guaranteeing that the AI tools are consistently updated in alignment with advancements, ensuring they continue to provide operational advantages to users.

Here are a few questions to ask before you hire developers

  • Describe Stochastic Gradient Descent (SGD) using your own understanding and terms.
  • Explain the concept of 1x1 convolution in convolutional neural networks and its intended application.
  • Detail your approach for clustering documents into semantically similar groups, considering their content.
  • Elaborate on the connection between Gaussian Mixture Models and the k-means clustering algorithm.
  • Provide an instance of AI application in a business context.
  • List the seven categories of AI.
  • List some regularization methods used in Deep Learning models.
  • Explain the rationale behind labeling the naïve Bayes algorithm as “naïve.”
  • Detail how to build an e-commerce recommendation system similar to Amazon’s “People who bought this item, also bought…”

Take a Look at What Our Clients are Saying About Us.

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Our Blog

Read on the topics that matter most to you through our comprehensive research articles & informative blogs.

Why Tech Companies Need a Chief AI Officer

Why Tech Companies Need a Chief AI Officer

Use of Artificial Intelligence in Healthcare

Use of Artificial Intelligence in Healthcare

Top 13 Applications of Artificial Intelligence in the Healthcare Industry

Top 13 Applications of Artificial Intelligence in the Healthcare Industry

Frequently Asked Questions

FAQ Icon

Hiring an AI developer in India typically ranges between $22 - $40 per hour, which can vary based on factors such as their technical proficiency, years of experience, and any associated technology stack licensing fees. As a reliable outsourcing partner for businesses worldwide, YTII offers both part-time and full-time AI developers at competitive rates.

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You can secure the services of pre-screened, proficient, and experienced AI developers in India by completing the form below. Our specialists will get in touch with you to connect you with the best-suited developers for your project.

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By partnering with YTII, companies can establish an extensive global talent pool to locate exceptional candidates without overwhelming their team's resources. Typically, YTII's team successfully pairs most companies with the ideal developer for the task within three to five business days. Our streamlined matching process and extensive expertise enable companies to identify the finest AI Developers in the shortest timeframe possible.

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Partnering with Your Team in India (YTII) can result in a remarkable 60% reduction in your overall operational expenses. Additionally, you will benefit from the advantages below by partnering with YTII:

  1. Access to experienced professionals in the latest technologies and programming languages.
  2. Experienced developers with ample experience.
  3. Thorough NDAs and complete confidentiality of Intellectual Property (IP).
  4. Complete ownership of the code after development.
  5. Project Managers are assigned to all projects.

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We follow a quick resource replacement policy where we find you a replacement if you are not satisfied with the hired resources. If you still wish to part ways, we have a 30-day notice period policy for contract termination.

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Our AI engineers are proficient in various advanced AI technologies, including machine learning, NLP, computer vision, and deep learning. They have expertise in programming languages such as Python, ready-to-use APIs from Open AI, and frameworks like TensorFlow, PyTorch, and sci-kit-learn, enabling them to design robust AI solutions. They are also skilled in cloud computing platforms like AWS, Azure, and Google Cloud, facilitating easy deployment and scalability of AI applications.

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At YTII, we offer a specialized retainer model tailored to provide ongoing assistance beyond the initial implementation of your solutions. This framework ensures that clients receive specific hours for uninterrupted post-deployment services, including maintenance, updates, and technical support. As a result, you will have access to top-priority support, which empowers our skilled team to address your needs and reduce potential downtime promptly.