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Expertise of our Machine Learning Engineers

With hands-on experience in varied industry verticals, we have a team of the best ML engineers skilled at developing ultra-modern and creative solutions that meet your unique project requirements. Hire our ML engineers to achieve your business goals with excellence.

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Expertise in machine learning algorithms

Our team of machine learning experts possess extensive knowledge of various algorithms. They excel at leveraging the appropriate algorithms to solve complex data challenges and provide actionable insights, ranging from clustering and deep learning to regression and classification.

 Component-based Architecture

Proficiency in data modeling and engineering

With proficiency in data modeling and engineering, our ML engineers know how to acquire, clear, and transform data into suitable formats for analysis. They also have an in-depth knowledge of SQL and NoSQL databases for managing and querying large datasets.

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Mastery of statistical analysis and probability

Having a profound knowledge of statistical tests, probability theories, and distributions, our ML engineers design accurate models and make apt predictions based on the appropriate data analysis. They help businesses collect, analyze, and draw conclusions from real-world data sets.

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Programming languages proficiency

With proficiency in programming languages like Python, C++, Java, and more, our ML programmers expertly structure the code, making it more manageable to simplify the development process of complex machine learning tasks. Hire pre-vetted ML engineers to bring innovation to your ML projects.

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Knowledge of data preprocessing and visualization

While possessing strong skills in data processing and visualization, our professional ML engineers efficiently pre-process and clean data. They ensure the data accuracy and quality for the model training by presenting clear and appropriate insights.

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Familiarity with machine learning libraries and frameworks

Being well-versed in machine learning libraries and frameworks, our ML engineers have hands-on experience working with popular tools like Scikit-learn, PyTorch, TensorFlow, and more. Leveraging their expertise in the field, we implement complex ML models more efficiently.

Save up to 55% of the project costs with pre-vetted ML engineers

Partner with YTII to hire ML developers and improve your business decision-making process, leading to enhanced productivity and profits.

Machine Learning Development Services We Provide

Simplify your business operations, automate complex procedures, and create memorable client experiences with our machine learning services. Build your team of ML engineers to help you solve your business challenges with our data-rich ML solutions.

Consultants

ML consulting

Leveraging our expertise in ML development, we offer strategic consulting services for businesses looking to adopt, develop, integrate, and implement intelligent ML models to optimize, modernize, and automate their processes. Partner with YTII to bring your ideas to life.

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ML app migration services

With years of experience in the field, our qualified ML engineers can migrate applications from a current tech stack to a hybrid or cloud platform of your choice without any data loss. We also integrate custom machine learning models into your existing models to deliver enhanced performance.

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Exploratory data analysis and visualization services

Our ML engineers provide end-to-end EDA and visualization services to handle complex datasets by preprocessing data, uncovering patterns and information, and developing insightful visualizations. We create hypotheses, test business assumptions, and design machine learning solutions to provide actionable insights while excellently handling any problem statement.

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MI-powered development solutions

We offer ML-powered solutions for your exclusive business requirements. Whether you need a virtual assistant, data-driven insights, a chatbot, or a predictive analytics tool, we can create a customized solution that meets your unique business requirements while driving efficiency to your business.

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ML modeling services

Leveraging our ML engineer's expertise, we offer comprehensive ML modeling services to create predictive models for performing activities like customer segmentation, demand forecasting, and fraud detection. With proficiency in ML frameworks, deep learning, data processing, and visualization tools, we develop powerful machine-learning models that drive transformative business outcomes.

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ML Support and Maintenance

In order to ensure your ML environment is running smoothly, we offer comprehensive support and maintenance services. Our ML engineers monitor your software and ML applications to resolve glitches before they become major. Hire dedicated ML engineers to up-keep your system performance.

Why Hire ML Developers from YTII?

Our team comprises highly skilled developers with unmatched proficiency in providing inventive, scalable, and effective solutions. Our proven track record of ensuring seamless development, advanced functionalities, and dedicated support make us the perfect choice for robust and cutting-edge ML projects. Choose us to experience the awesomeness of our services! Here's why we stand out as your top choice:

  • Highly Skilled and Top Rated Developers
  • Direct Access to the Developer As Your Own Employee
  • Dedicated Relationship Manager
  • CI/CD Best Practices
  • Core Engineering Team Support
  • Devops Team Support
  • Data Security & IP Protection
  • Excellent Communications Skills & Timezone Overlap
14+years
200+developers
1000+projects delivered
98%client retention ratio

How to Hire ML Developers from YTII?

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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.

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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.

Acquire intelligent solutions to revolutionize the way your business operates.

Whether you need process automation, deep learning solutions, or predictive analytics, our ML Engineers have got it covered.

Technical Expertise of our Dedicated ML Developers

Languages
Python | R | C++ | JavaScript | Kotlin | Java | Golang | Scala
Frameworks
Tensorflow | Mahout | Caffe | Mxnet | Rasa | Flask | Pytorch
Libraries
Pandas | SpaCy | Scikit-learn | NumPy | Matplotlib | OpenCV | NLTK | Asyncio | SciPy | Ggplot2 | Dash Plotly | Streamlit | Gradio | Spark MLlib | Theano | Keras | Gensim | Seaborn
Algorithms
Regression | Ridge & Lasso Regression | Support Vector Machines | Stochastic Gradient Descent | Ada-Boost | XGBoost | FastLinear Regression | Logistic Regression | Decision Tree | SVM | Naive Bayes | kNN | K-Means | Random Forest
Network Architecture
ResNet | RNN | CNN | Regression models | Categorization models | GAN | NeRF | Clustering algorithms | YoloNet | AlphaPose | Skeleton detection | Pose2Seg | RetinaFace | U-Net | DBSCAN
Data Set
ImageNet | MSCOCO | MNIST | CIFAR-10 | Pascal VOC | Kaggle | Earth Data
OCR
Pytesseract | Amazon Extracts | Google Vision
Communication Tools
AWS | Azure | Google Cloud
Platforms
Google Meet | Zoom | GoToMeeting
Tools and Technologies
Spark | Hadoop | Apache Kafka | IBM Watson | MATLAB | Jax | SAS | IBM SPSS | MySQL | Google Big Query | Power BI | Tableau
PM Tools
Jira | Trello | Slack | Asana | Azure | DevOps | Hubstaff Tasks
Communication Tools
Slack | Hangout | Microsoft Teams

How YTII Has Helped Businesses Successfully Hire Talented Remote Developers?

We assist both new and emerging start-ups in developing MVPs, hiring teams of skilled developers, and gaining access to cutting-edge technologies. From application creation to modernization and maintenance, our 360° enterprise solutions cover it all.

Clients’ Testimonials: Establishing Digital Trust

We love partnering with new clientele! YTII has more than 3000 satisfied clients who continuously support us via their feedback, more projects, and suggestions.

Ultimate Guide to Hire Dedicated ML Programmers

An ML engineer is a professional who specializes in researching, developing, and designing self-running AI systems that automate predictive analytics models. They are an imperative member of the team that collaborates with data analysts, data scientists, and other team members to deliver intelligent project outcomes.

Are you planning to hire an ML developer for your project but don’t have an appropriate idea of what to look for while shortlisting one? Below is the list of skill sets that ML developers must have in order to handle ML projects.  

  • An ML developer must have extensive knowledge of model evaluation, data pre-processing, and feature engineering.
  • They must be well-versed in working with varied ML techniques, including deep learning, reinforcement learning, and supervised and unsupervised learning.
  • They should have the required skills to create and deploy custom ML models in production environments while ensuring reliability, maintainability, and scalability.
  • They must possess the ability to work with distributed computing frameworks and large datasets.
  • They must be experienced in working with deep learning frameworks like PyTorch or TensorFlow.
  • An ML engineer must be proficient in model interpretability techniques to ensure transparency and explain model predictions in the decision-making process. 
  • They should have experience in working with performance tracking and model monitoring to detect issues and ensure model quality.
  • They should have a thorough understanding of computer vision techniques, natural language processing, statistical concepts, and methodologies. 
  • They must have a comprehensive knowledge of SQL and database systems for data querying and manipulation.

Machine Learning is an invaluable tool for businesses looking to empower their decision making process. It provides meaningful business insights from raw data and goes beyond human capabilities, predicting results with higher accuracy than other conventional methods may overlook. Here are some of the empowering benefits of incorporating ML into businesses.

It facilitates analyzing the historical data to retain customers

Customer churning is one of the most common concerns for enterprises. However, incorporating ML into businesses can facilitate identifying which customers are likely to leave, providing feasible solutions for retaining customers in the long run. 

Improved forecasting and planning

Machine learning is all about making predictions, which is why it is a reliable platform for forecasting and planning activities. It can help businesses by predicting price trends, future costs, and demands.

Facilitates assessing patterns to detect fraud

ML can detect fraud. This is one crucial element that helps businesses stay cautious about likely frauds and remain competitive with custom implementations and secure operations. 

It helps address unique industry requirements

With its considerable horizontal capability, ML offers unique solutions to meet vertical market requirements. 

Improved automation

Automation is increasingly impacting the way businesses work by streamlining repetitive tasks while saving time and resources. The combination of automation techniques with machine learning can create unique automation processes that can take businesses to the next level. For instance, in the manufacturing industry, machine learning can enhance the entire manufacturing process. 

Security enhancements

Machine learning is a powerful tool in bolstering security. Offloading vulnerability assessment and monitoring tasks to an automated algorithm provides a reassuring layer of protection, complementing existing security teams. 

An ML engineer is a professional who specializes in researching, developing, and designing self-running AI systems that automate predictive analytics models. They are an imperative member of the team that collaborates with data analysts, data scientists, and other team members to deliver intelligent project outcomes.

Are you planning to hire an ML developer for your project but don’t have an appropriate idea of what to look for while shortlisting one? Below is the list of skill sets that ML developers must have in order to handle ML projects.  

  • An ML developer must have extensive knowledge of model evaluation, data pre-processing, and feature engineering.
  • They must be well-versed in working with varied ML techniques, including deep learning, reinforcement learning, and supervised and unsupervised learning.
  • They should have the required skills to create and deploy custom ML models in production environments while ensuring reliability, maintainability, and scalability.
  • They must possess the ability to work with distributed computing frameworks and large datasets.
  • They must be experienced in working with deep learning frameworks like PyTorch or TensorFlow.
  • An ML engineer must be proficient in model interpretability techniques to ensure transparency and explain model predictions in the decision-making process. 
  • They should have experience in working with performance tracking and model monitoring to detect issues and ensure model quality.
  • They should have a thorough understanding of computer vision techniques, natural language processing, statistical concepts, and methodologies. 
  • They must have a comprehensive knowledge of SQL and database systems for data querying and manipulation.

Machine Learning is an invaluable tool for businesses looking to empower their decision making process. It provides meaningful business insights from raw data and goes beyond human capabilities, predicting results with higher accuracy than other conventional methods may overlook. Here are some of the empowering benefits of incorporating ML into businesses.

It facilitates analyzing the historical data to retain customers

Customer churning is one of the most common concerns for enterprises. However, incorporating ML into businesses can facilitate identifying which customers are likely to leave, providing feasible solutions for retaining customers in the long run. 

Improved forecasting and planning

Machine learning is all about making predictions, which is why it is a reliable platform for forecasting and planning activities. It can help businesses by predicting price trends, future costs, and demands.

Facilitates assessing patterns to detect fraud

ML can detect fraud. This is one crucial element that helps businesses stay cautious about likely frauds and remain competitive with custom implementations and secure operations. 

It helps address unique industry requirements

With its considerable horizontal capability, ML offers unique solutions to meet vertical market requirements. 

Improved automation

Automation is increasingly impacting the way businesses work by streamlining repetitive tasks while saving time and resources. The combination of automation techniques with machine learning can create unique automation processes that can take businesses to the next level. For instance, in the manufacturing industry, machine learning can enhance the entire manufacturing process. 

Security enhancements

Machine learning is a powerful tool in bolstering security. Offloading vulnerability assessment and monitoring tasks to an automated algorithm provides a reassuring layer of protection, complementing existing security teams. 

Our Blog

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

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Top 10 AngularJs Features you Should Know

Step-by-Step Guide to Find Angular Developers

Step-by-Step Guide to Find Angular Developers

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24 Essential Angular Best Practices to Adapt in 2023

Frequently Asked Questions

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With YTII, hiring an ML engineer is super easy. All you need to do is get in touch with our team and provide us with your requirements and expectations. Once we have your information, we will connect you with experts who have been pre-vetted by us. You can go through the list and select the professional that fits your unique needs. It's as simple as it sounds.

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We at YTII understand that businesses have unique requirements, which is why we offer flexible hiring models. Depending on your project's budget, requirements, and timelines, you can hire ML engineers from us on a monthly, hourly, or project basis. 

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Yes, at YTII, we provide post-deployment support and maintenance services for your machine-learning solutions. We recognize the importance of maintaining systems based on dynamic business requirements. That's why we don't just stop our services at the time of project deployment. Instead, we offer comprehensive support and maintenance services to ensure your ML solutions continue to operate seamlessly. Hire ML Engineers in India to excel in the dynamic business landscape.

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Absolutely! Our ML migration and integration services allow you to incorporate ML into your current solutions seamlessly. Whether you're looking to migrate your app to ML or transition your current solution to an ML-based one, we've got you covered. Hire ML engineers India to experience a seamless transition without any data loss. 

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There is no straightforward answer to this question, as the cost of hiring an ML engineer depends on varied factors, including the unique project requirements, the complexity of the project, the timeline, the selected hiring model, features, and even the experience and location of the ML engineer. Connect with our ML development experts to get an accurate quote for your unique project requirements. 

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If you are unhappy with the performance of the hired resource, we offer a complete resource replacement policy. With a resource backup, we will connect you with the other ML engineers and help you find the best fit for your project as soon as possible, even without hindering the project's progress.