Hire ML Engineers

Bigscal is a machine learning development company that uses development technologies like Deep Learning, Machine Learning, and neural networks to help organizations produce AI solutions and data-driven products in the time allotted. Hire machine learning specialists on an hourly or full-time basis to save development expenses by up to 60.0 percent. Hire Machine Learning Developers to accelerate the development of your AI-enabled (Artificial Intelligence) product. We help businesses succeed by providing AI solutions and data-driven products on schedule.

✓ Non-Disclosure Agreement

✓ Flexible Engagement Models

✓ Onboarding Is Simple & Quick

✓ Complete Command On The Team

✓ The Agile Development Methodology

✓ Work With The Top 2% Of India’s Full-Stack Engineers

Create Remote Team

Hire Top IT Professionals For Your Projects


    Global Presence


    Global Customers


    Completed Projects


    Years of Experience

    Adani renewables
    Vital data technology
    Universal weather & aviation, inc
    One RPM
    Trackimo always there
    Whirpool india
    Big interview
    Different dog
    Open cosmos
    Adani renewables
    Vital data technology
    Universal weather & aviation, inc
    One RPM
    Trackimo always there
    Whirpool india
    Big interview
    Different dog
    Open cosmos

    Our Top-Notch Machine Learning Development Services

    Our Skilled Machine Learning Developers Use A Pre-Defined Strategy To Create Bespoke Machine Learning Solutions That Not Only Streamline And Simplify Your Company Operations, But Also Improve Your ROI, Productivity, And Efficiency.

    Systems Of Recommendation

    With the help of our specialized Machine Learning specialists, create AI solutions like recommendation systems that encourage users to buy goods they’re interested in based on their previous purchases and watching patterns.

    AI-Powered Chatbots

    Implementing a pleasant chatbot on your website can help you save money on customer care. Hire our Machine Learning specialists online or use our Machine Learning app development services to create chatbots that are both compassionate and relatable.

    AI-Based User Behavior Analysis

    Building analytic tools as part of our Machine Learning app development services may help you better understand your users’ ideas, wants, and expectations. This can aid in the conversion of visitors to consumers.

    Automation Of AI Processes

    Hire online Machine Learning developers to create AI solutions and technologies that may help you improve your supply chain management, sales pipeline, and financial operations.

    Business Analytics (Advanced)

    You can acquire the information you need and evaluate data using state-of-the-art tools created by our remote Machine Learning engineers to make the best decisions and decrease risk.

    Artificial Neural Networks

    Our professional Machine Learning developers can assist you in the creation of neural network-based AI systems that can do categorization jobs on their own without the need for human intervention.

    Dedicated ML Engineers

    With our specialized machine learning experts, you can grow your machine learning development skills and create scalable, secure, and resilient AI systems.

    Image Processing

    By incorporating neural networks into their environment, our machine learning experts allow computers to conquer the challenge of text translation.

    Data Mining

    In real-time, our machine learning specialists harvest data and turn it into a useful and intelligible model for commercial usage.

    Let’s Talk About Your Project

    To help us turn your project idea into a spectacular digital product, request a free consultation and share it with us.

    Partnering with Global Powerhouses

    Partnering with a global machine learning development company can be an excellent opportunity for organisations looking to enhance their technology capabilities and leverage artificial intelligence to drive innovation. With a well-established partner, you can access a wide range of expertise, resources, and technology that can help you build cutting-edge machine-learning applications, streamline processes, and optimise your operations.

    • 750+ Projects Successful
    • 97%+ Customer Satisfaction Rate
    • 500+ Global Clients
    • 25+ Countries
    • 175+ Full-Time Software Developers
    Bigscal clients

    Work Together With The Top 1% Of Indian Developers

    Hire ML developers and coders from India, known for their exceptional abilities and ranked among the top-tier talent worldwide.

    Junior ML Developer

    $1650 – $2400

    1-3 Years Experienced

    Mid Level ML Developer

    $2400 – $3400

    3-5 Years Experienced

    Senior Level ML Developer

    $3400 onwards

    5+ Years Experienced

    What is the process for our 2-week trial?

    You can try the engineer(s) for two weeks without any obligation to add them to your team. The services are prepaid so that you can continue on if you like them. What do you think? Isn’t it effortless and transparent?



    We will engage in a conversation to assess our skills and capabilities.


    Align engineer(s)

    Initiate the development process by aligning the engineer(s).


    Trial Phase

    We seek ongoing feedback from our engineers on your project.


    Add engineer(s) to your team

    The engineer(s) is added to your team after the trial period.

    Got a Project in Mind? Tell Us More

    Drop us a line and we’ll get back to you immediately to schedule a call and discuss your needs personally.

    A Variety Of ML Developer Models Are Available

    All Of Our Clients Have The Option Of Selecting The Engagement Model That Best Suits Their Needs.

    Huge Community Support

    Dedicated Team

    To find out more about specialized teams, speak to your company’s marketing department. Pay-per-use contract with a monthly rolling payment schedule.

    • This product has no hidden charges
    • 160 hours of employment that is guaranteed
    • Invoices are paid on a monthly
    • Only pay for an activity that can be quantified
    cost saving

    Controlled Agile

    The controlled agile engagement approach is ideal for individuals with a limited budget who yet want some flexibility in response to changing circumstances.

    • Flexibility to the max
    • Assemble a squad
    • You may start with something simple
    • Having full control over your money
    Adaptable Timely Workflow

    Time And Material

    Please inquire about hourly rates when representing a firm with undefined projects and continuing work. Pay-per-use hourly rolling contract.

    • This product has no hidden charges
    • Working hours that are dependent on requirements
    • Invoices are paid on a monthly
    • Only pay for activities that can be quantified

    User Guide

    What is Machine Learning?

    Machine Learning is a field of artificial intelligence that focuses on developing algorithms and statistical models that enable computers to make predictions and decisions without explicitly programming them. Machine learning algorithms analyze data, learn from that data, and then make a forecast about something in the world. This allows the computer to improve its performance over time by learning from its experiences. It is a valuable tool for solving complex problems in various domains, such as natural language processing, image and speech recognition and predictive analytics.

    What are Machine Learning services?

    Machine Learning (ML) services refer to cloud-based platforms and services that allow developers and organizations to build, deploy, and run ML models. These services provide a set of tools and APIs for training, testing, and deploying machine learning models in a variety of applications, without the need for extensive infrastructure and expertise in ML.

    Some examples of ML services include:

    • Amazon SageMaker: A fully managed service for designing, training, and deploying machine learning models.
    • Google Cloud AI Platform: Enables developers and modellers to design and deploy machine learning models on the cloud.
    • Microsoft Azure Machine Learning: A cloud-based platform that provides a range of tools and services for building, deploying, and managing ML models.
    • IBM Watson Studio is a collaborative environment for data scientists and software developers to create and deploy ML models.

    These services can be used for various tasks, such as natural language processing, image and speech recognition, predictive maintenance and recommendation systems, among others.

    How Machine Learning solutions can improve the business?

    Machine learning (ML) solutions can improve businesses in a number of ways. Here we highlighted a few crucial areas where ML can bring significant benefits:

    • Predictive analytics: It analyzes large amounts of data and recognises patterns and relationships that can be used to make accurate predictions about future trends and events. This can be applied in areas such as customer behaviour, sales forecasting, and supply chain optimization.
    • Marketing and advertising: ML can be used to optimize marketing and advertising efforts by providing insights into customer behaviour and preferences, and by automating certain marketing tasks such as email campaigns and online ads.
    • Fraud detection: ML can detect fraud and minimize financial losses by analysing large amounts of data and identifying suspicious patterns and behaviour.
    • Supply chain optimization: It optimizes the supply chain by predicting demand, optimizing inventory levels, and predicting equipment failures to minimize downtime.
    • Predictive maintenance: ML can be used to predict equipment failures and schedule maintenance before they occur, reducing downtime and maintenance costs.

    Here we highlighted a few examples of the many ways in which ML solutions can improve businesses. By leveraging the power of ML, businesses can make more informed decisions, improve operational efficiency, and provide a better experience for their customers.

    How do I get started with machine learning?

    Getting started with machine learning (ML) can seem like a daunting task, but with a good understanding of the fundamental concepts and some practical experience, you'll be well on your way to becoming an ML practitioner. Here's a list of steps you can follow to get started:

    • Learn the basics: Before diving into ML, it's important to have a good understanding of statistics, linear algebra, and calculus. You can start with online courses or textbooks to learn these subjects.
    • Choose a programming language: Python is the most commonly used programming language for ML, but you can also use R or Julia. Select the language that is suitable for you or that has the most active ML community and resources.
    • Learn a machine learning library: There are many ML libraries available, including TensorFlow, PyTorch, and sci-kit-learn. Choose one that you like, and start learning how to use it to build ML models.
    • Start with a simple problem: Don't try to tackle a complex problem right away. Start with simple problems such as linear regression or k-nearest neighbours, and then move on to more complex problems as you gain experience.
    • Practice on real-world datasets: You can find datasets for many different problems on websites like Kaggle or UCI Machine Learning Repository. Try to build ML models for these datasets and see how well they perform.
    • Read research papers: ML is an active area of research, and reading research papers can give you a better understanding of the latest techniques and trends.

    How do I evaluate the results of implementing machine learning?

    Evaluating the results of implementing machine learning models is an important step to determine the performance and accuracy of the model. There are several metrics that can be used for evaluating machine learning models, including:

    • Accuracy: The accuracy of the model is measured by the percentage of correct predictions among all predictions. It is often used for classification problems.
    • Precision: Precision is a measure of how many positive predictions were made with the model and how many were true. It is used to determine the quality of the positive predictions created by the model.
    • Recall: Recall refers to how often a model accurately predicts positive events compared to how often actual positive experiences occur. It is used to determine the coverage of the model's positive predictions.
    • F1 Score: Calculated by averaging precision and recall and provides a single value that summarizes the overall performance of the model.
    • Confusion Matrix: A confusion matrix is a table that outlines the execution of a classification model by comparing the actual and predicted class.

    Our Latest Blogs

    Bigscal creates articles that broaden your knowledge and provide you with in-depth details on the most recent developments in the IT business. Our specialists are always looking into new IT technologies and creating articles for our cherished clients.


    Indian Machine Learning engineers provide a lot of advantages in addition to delivering reliable software solutions on time:

    • A group of seasoned programmers
    • Development that is cost-effective
    • Project management that is at the top of its game
    • Compatibility with different time zones

    If you don’t have enough money to hire full-stack remote machine learning engineers, consider a mid-sized Indian machine learning development firm. Bigscal is a machine learning development firm based in India with over a decade of expertise providing quality to international clients.

    We will send a qualified and experienced programmer to work on your project within a well-established IT setup after a thorough assessment of your project needs. You have the option of conducting as many interviews as you like before hiring a machine learning engineer.

    If you want expertise because a hired developer has failed to produce the expected results, or if you wish to employ more developers with a wide skill set, we will assist you immediately in both instances. With a 100% success record, we provide a wonderful client experience.

    Machine Learning’s most popular programming languages are:

    • Python
    • Prolog
    • R
    • Lisp
    • Java

    Hiring committed and talented engineers have a number of advantages:

    • Working with devoted and competent developers is an excellent opportunity.
    • Complete command of the development process.
    • Hiring a specialized staff will also take care of Quality Control and risk mitigation.
    • Without any additional or recurring fees, a dedicated Scrum Master (Project Manager) to oversee your project and team.
    • Finally, but certainly not least, developers are members of your team.

    The following are the benefits of machine learning:

    • Product marketing and sales forecasting simplified.
    • Spam detection and product suggestions are simple.
    • Improved client segmentation and forecasting of value.
    • Remove the need for manual data entry.
    • Human participation is not required.
    • Spam detection is simple.

    To identify the finest machine learning development firm, look at its previous work and technological experience. Bigscal has over 11 years of experience building and delivering machine learning software.

    Machine learning is a crucial part of the automation process. Startups and businesses are increasingly relying on machine learning algorithms to solve their business problems with a high degree of certainty. In addition, you only need a small investment to get started with Machine Learning. As a result, Machine Learning is regarded as an entrepreneur-friendly technology.

    Aside from a few minor factors, this is totally dependent on whatever exact model your company demands. Our staff can walk you through the pricing of your Machine Learning solution in detail. All you have to do now is fill in the blanks with the information about your project.

    A Machine Learning solution might be extremely beneficial if your company works with big data volumes and repetitive activities. To begin, you must first determine the sort of data you have, the volume of data you have, and the tasks you must do. You may also get advice from our staff on the subject by connecting with our ML expert.

    What Our Valuable Clients Say About Us

    We are grateful for our clients’ trust in us, and we take great pride in delivering quality solutions that exceed their expectations. Here is what some of them have to say about us:

    "BigScal’s dedicated and talented staff made the effort to understand my complex requirements and met these challenges with insightful.Their greatest strength is an ability to listen to what a client need."

    Dr. Dosist

    Owner, Brew-EZ

    "Their communication was very impressive, especially since there’s a great distance between Colorado and India."

    Ilona Maxwell

    Owner, Brew-EZ

    "They were an extension of our team that we trusted and relied upon."

    Lindsay Fairman

    Founder, B2C & B2B

    "We are happy with their high-quality work."

    Kirk Rogers

    Managing Director, Priovanti

    "Very good cooperation! The work was always professional and always on time. We will hire them definitely again."


    Owner, Brew-EZ

    Get In Touch With Us