Hire AI/ML Developers & Programmers

We provide AI/ML developers or teams, as per your requirements, from a pool of 22+ certified AI/ML programmers who are experts in developing web, mobile, and desktop applications.

  • Certified In-house team with 5+ years of average exp.
  • Flexible, cost-effective hiring on hourly or monthly
  • 100% clean code with source code protection

No-Risk Trial, Pay Only If Satisfied


Projects Deployed


Customer Satisfaction


AI/ML Developers

Experienced AI/ML developer for hire

TRUSTED BY COMPANIES around the world


Hire Dedicated AI/ML Developer in 3 Steps



Client sharing requirement to hire dedicated AI/ML developers with the Thinkitive sales team

Share project requirements

Share your AI/ML project requirements. Our subject matter expert team will understand the needs and share the best matching candidate's CVs.


Review CVs of in-house AI/ML developers

Interview and evaluate candidates

Evaluate AI/ML developers based on technical and soft skills. Choose developers that best suit your project requirements.


Sign a NDA and on board dedicated AI/ML developer

Onboard Resource or Team

Onboard AI/ML developers in the next 48 hours by signing NDA and Service Level Agreements.

Build a Complete Project team On-demand

Build a skilled AI/ML development team tailored to your custom project requirements. We offer end to end development services for any size of project with quality deliverables.

300+ Technology Experts

We are a big family of 300+ technology experts with in-depth technology and domain understanding. We empower businesses to create teams of any size, ranging from 1-2 members to over 50 members, all within a single umbrella.

End to End Development

Our services encompass every facet of software development, including consultation, design, business analysis, development, DevOps, and testing. In addition, we offer ongoing support and maintenance for software systems.

Pre-Vetted Candidates

AI/ML developers for hire undergo a screening or evaluation process before being recommended or hired. It involves various assessments of their technical skills, hacker rank testing, and certification to ensure they fit the job well.

Budget Friendly

We offer a competitive hiring rate as 100% of our team is in-house, guaranteeing maximum efficiency while minimizing costs. We offer a 1-week free trial before you hire AI/ML programmer without any commitments.

Profile of a backend developer and frontend developer along with full stack developer

Stay ahead of the curve with AI/ML solutions

Hire a top AI/ML developer and transform your business with AI/ML systems.

Our AI/ML Development Services


We provide numerous services that easily simplify operations, customize client experiences and automate complex procedures by utilizing our AI and machine learning expertise. We also offer artificial intelligence services to help you integrate into your existing applications.

In-depth Domain Expertise - Thinkitive

Data Annotation Services

Our data annotation services involve labeling and categorizing data to create a comprehensive and accurate training dataset for your machine-learning models. We add relevant information to the data in a structured format, allowing machine learning algorithms to identify patterns, relationships, and meaning in the data. We deliver high-quality data annotation services that boost AI Ml models' performance. We ensure the annotation process is thorough and consistent.

Ready-to-use Components - Thinkitive

Data Acquisition & Pre-Processing

Our data acquisition and pre-processing involve collecting and preparing the data used to train and evaluate AI models. Our AI developers acquire data from databases, APIs, and web-scrapping. We clean data that contains missing values, duplicates, or irrelevant information to ensure data quality. We then convert the data into an appropriate format and structure.

Third Party Integration - Thinkitive

EDA & Visualization

Exploratory Data Analysis (EDA) involves analyzing and summarizing the main characteristics of a data set, often through visual methods. We identify patterns, anomalies, and relationships within the data and provide valuable insights that inform the development of machine learning models. We create visual data representations like charts, graphs, and maps. We comprehend the result of an EDA and provide a more intuitive understanding of complex data relationships.

Affordable Telemedicine Solutions - Thinkitive

Natural Language Processing

We develop algorithms and models that enable computers to understand, interpret, and generate human language. Our NLP solutions include but are not limited to text clustering, topic modeling, sentiment analysis, and language generations, among others.

Fully Customized Solutions - Thinkitive

Bot Development

Our AI ML developers create software programs that are designed to automate and simplify repetitive tasks, allowing organizations to streamline business operations and improve overall efficiency. We use open source platforms like RASA and managed services like Dialog Flow, Lex, Microsoft bot services, among others.

Timely Delivery - Thinkitive

Data Reporting - Reports & Visualizations

We collect and present data clearly and concisely. We summarize large amounts of data into an easily digestible format that provides insights into the pattern and relationships within the data. It is achieved using tables, charts, graphs, and other visual aids. We visualize data to reveal patterns, trends, and insights that are not immediately apparent from raw data. We use cutting-edge tools and technology like Tableau, Power BI, Google data studio, Looker, and Apache Superset, among others.

Benefits of outsourcing AI/ML Development to us

Free Manager Services

We assign a free project manager irrespective of the number of AI/ML resources you hire. The project manager will be responsible for project planning, timeline, and defining project goals and deliverables. The project manager will ensure you get quality output throughout your engagement with Thinkitive.

Monitor project progress

Ensure Client Satisfaction

Accountable for deliverables

Tablet view of project manager having a video call with the client sharing details of the project timeline and goals.

Daily & Monthly Timesheet Updates

We furnish daily reports and timesheets summarizing tasks completed, roadblocks faced, and project milestones achieved. A detailed timesheet is shared at month-end to evaluate team tasks and hours spent per task, enabling you to assess payment based on work completed.

Track & Evaluate progress

Pay only for quality work

Manage time effectively

Monthly timesheet of completed tasks-along with the exact number of hours to complete each task

Resume of AI/ML developer for hire

For any reason, a developer we have placed with your company does not satisfy your expectations, or the developer is unavailable due to unavoidable circumstances. We keep 10% backup resources that can immediately replace existing developers with the same level of expertise without interrupting your project progress.

Free Developer Replacement

Minimizing project disruption

Replace resources in the week

Resume of AI/ML developer for hire

Effective Project Management and Collaboration

Interactive Communication

We streamline processes and workflows using communication tools, which leads to enhanced efficiency. We provide real-time updates and access to data to our stakeholders to better understand the project's progress toward a goal.

CI/CD Pipelines

We offer continuous integration and create end-to-end CI/CD pipelines by building, testing, and deploying code using agile development methodology.

UI/UX Tools

Designers use collaborative interfaces and vector-based design tools to provide intuitive design to your unique AI/ML development project.

Coordinated Project Management

Our AI/ML developers utilize project management tools to present reports that give stakeholders a high-level perspective of the project's progress.

Code Management

Development team uses a version control system (VCS) or subversion to track changes, manage code versions, and collaborate with team members.

Why Hire AI/ML Developers from Thinkitive?


We at Thinkitive have 9+ years of in-depth technical expertise and domain knowledge. Our developers have a deep understanding of AI/ML development. They are skillful in using specific tools, frameworks, and programming languages such as Python, TensorFlow, PyTorch, ScikitLearn, SpaceE, and many more. Our clients are trusted long partners because of our proven track record of delivering AI/ML projects on time and within budget.


Experience AI/ML Developers


Successful Project Delivered


Client Retention Rate


Cost Reduction

A team of proficient AI/ML developers discussing the project development

Comparison Analysis

Time To Hire


Typical employment

Freelance developers

Time To Hire

72 Hours

1-4 Months

5-6 Weeks

Pre-Screen Candidates


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Freelance developers

Pre-Screen Candidates

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Hiring Costing


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Hiring Costing




Documentation & Security


Typical employment

Freelance developers

Documentation & Security

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Typical employment

Freelance developers



Long-term costly

High Cost

Quality Guarantee


Typical employment

Freelance developers

Quality Guarantee

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Failure Rate


Typical employment

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Failure Rate

Very Low


Very High



Typical employment

Freelance developers



No Overlap

No Overlap

Hire AI/ML Developer as per your need

Simple & Transparent Pricing | Fully Signed NDA | Code Security | Easy Exit Policy


Hourly (USD)

We’ll provide a fully signed NDA for your Project’s confidentiality


Monthly (USD)

3 to 5 Years of Exp. AI/ML Developer - 160 hours

Fixed Cost

Get a Free Estimation based on Your Custom Requirements

Engagement Model For Hiring AI/ML Developers


Build a robust AI/ML system

Hire AI/ML developers skillful in cutting-edge AI/ML technology and stay competitive.

Thinkitive Hiring Model


Thinkitive- Hiring


Full-Time Icon

Full-Time Hourly

Part-Time Hourly

Daily Hours 8 hours 8 hours 4+ Hours
Hiring Models ≥3 months ≥2 months ≥1 month
Hiring Benefits 5% Discount 1% Discount None
Payments Fixed monthly pay Based on Hours Based on hours

Frequently Ask Questions

Machine learning (ML) and deep learning (DL) are two subfields of artificial intelligence (AI). While they share similarities, there are some critical differences between the two.
Machine learning involves training algorithms to make predictions or decisions based on data inputs. It focuses on developing algorithms to learn from data and improve accuracy over time. Machine learning algorithms typically use statistical techniques to identify patterns in the data and make predictions or decisions based on those patterns.
Deep learning is a subset of machine learning that uses artificial neural networks to model complex relationships in data. Deep learning algorithms use multiple layers of interconnected nodes to learn and classify data inputs. It has effectively solved complex problems such as image and speech recognition.
We offer both Machine Learning and Deep Learning services. We use a combination of the two techniques to solve specific business problems, depending on the nature of the data and the problem at hand. By leveraging machine learning and deep learning, we can create more accurate and practical solutions that meet client's business needs.

There are several programming languages that companies use for AI/ML projects, including :

  1. Python: Python is one of the most popular languages for AI/ML due to its simplicity and ease of use. It has many popular libraries for machine learning such as TensorFlow, PyTorch, Scikit-learn, and Keras.
  2. R: for statistical computing and graphics. It has many machine learning libraries such as caret, mlr, and randomForest.
  3. Java: a popular language for developing enterprise applications, including AI/ML projects. It has several powerful machine learning libraries, such as Weka and Deeplearning4j.
  4. C++: C++ is a high-performance programming language that is often used for AI/ML projects that require fast processing speed. It has several popular libraries, such as TensorFlow and Caffe.
  5. MATLAB: MATLAB is a numerical computing environment that is often used for scientific computing and data analysis. It has several powerful machine learning libraries such as Neural Network Toolbox and Statistics and Machine Learning Toolbox.

Ultimately, the choice of programming language depends on the specific needs and requirements of the AI/ML project.

We ensure that the confidential information shared between our clients and us is protected by signing Non-Disclosure Agreements (NDAs) and Intellectual Property Protection Agreements. These agreements are specifically tailored to the project's requirements and purpose. Our developers and project managers know the importance of maintaining the security and confidentiality of our client's project materials. Furthermore, our organization has dedicated legal and compliance teams responsible for ensuring that all employees know the significance of security compliance and confidentiality.
Yes, we have 100+ in-house AI/ML developers on board. We help you extend your team with our expert Machine Learning Developers.

Here are the list of various AI/ML services we provide:

  1. AI/ML Consulting- We provide expertise and guidance to Client's seeking to adopt or improve their use of AI/ML technologies. We access their existing infrastructure, develop AI/ML strategies, and provide training and support.
  2. Data Annotation Services- We label and tag data to train ML models. It includes tasks such as object recognition, sentiment analysis, and speech recognition and is critical to the accuracy and effectiveness of ML algorithms.
  3. Data Acquisition & Pre-processing- We collect, clean, and prepare data for analysis. We extract data from various sources, such as databases and APIs, and transform it into a format suitable for ML algorithms.
  4. EDA & Visualization- We explore and analyze data through statistical and visual methods to gain insights and identify patterns. It includes techniques such as data visualization, clustering, and regression analysis.
  5. Natural Language Processing- We use ML algorithms to analyze and understand human language. It includes sentiment analysis, speech recognition, and language translation.
  6. Bot Development- We create automated chatbots and virtual assistants to interact with users in natural language. It includes developing chatbot scripts, training machine learning models, and integrating chatbots with existing software.
  7. Data Reporting - Reports & Visualizations- We create reports and visualizations that summarize and communicate data insights to stakeholders. It includes dashboards, charts, and graphs and is critical to data-driven decisions.
  8. Computer Vision and Image Processing- We use ML algorithms to analyze and understand visual data, such as images and videos. It includes object recognition, face detection, and image segmentation tasks.

We use a variety of technologies and frameworks for AI/ML projects, including Python (with libraries such as TensorFlow and PyTorch), R, Java (with libraries like Weka and Deeplearning4j), C++, and MATLAB.

Yes, Our AI ML developers strongly understand project management principles and practices. It includes defining project scope, setting timelines and milestones, identifying risks and issues, and communicating project status to stakeholders.
ML development projects typically involve multiple stages,

  1. Data Preparation
  2. Model Development
  3. Testing and Deployment

Our AI/ML developers use project management tools such as Jira, Trello, Asana, and Basecamp to track progress, collaborate with team members, and manage resources effectively.

The average cost of hiring AI/ML developers ranges from $18 to $28 per hour.
We have a 10% resource backup, and we will immediately replace the Machine Learningl developer if you are unsatisfied with their work.

Book Free Consultation

If you have specific requirements then Managed Services comes in handy, The project is led by a project manager who gets work done internally.