Comprehensive AI Services for Every Business Need

Achieve your business goals with Toptal’s unparalleled AI services. Our comprehensive service offering, powered by industry-leading talent, is designed to solve for any business challenge and deliver exceptional results.

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Team Leader

Featured Full Team of AI Specialists

Adrian Gonzalez

Generative AI Expert

Adrian is a leading generative AI expert and two-time O'Reilly book author who currently leads Microsoft's Cloud, Data & AI Strategy for Public Sector and Healthcare. Adrian's career spans technical and business roles across diverse sectors, including telecom, fintech, consulting, and IT. Internationally, he has delivered multiple innovative initiatives across North America, LATAM, and Europe. As a key member of the Trusted AI Committee of the LF AI & Data and a Responsible AI Lead at OdiseIA, Adrian champions ethical practices in AI advancements. He is also the author of the Linux Foundation's AI Fundamentals class.

Previously at

Experience

13+ Years

Denis Volk

AI Engineer

Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.

Previously at

Experience

24+ Years

Filip Boltuzic

Machine Learning Engineer

Filip is a machine learning engineer with several years of professional experience. He's worked on large-scale problems at Amazon Web Services as a software developer and built natural language processing models as a research associate at the University of Zagreb. Filip's main interests are machine learning and natural language processing, with an emphasis on building text classification models.

Previously at

Experience

12+ Years

TRUSTED BY LEADING BRANDS

OUR SERVICES

AI Services

Toptal’s AI services provide our clients with a wide range of capabilities, from prompt engineering guidance to full end-to-end delivery of new machine learning models. We deliver comprehensive strategies alongside scalable AI solutions to bring you outstanding results.

CUSTOMIZED SOLUTIONS

Artificial Intelligence Solutions That Drive Impact

Toptal delivers leading artificial intelligence services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

Managed Delivery by Toptal
On-demand Talent & Teams

Managed Delivery by Toptal

End-to-end project delivery per your specific requirements

Delivery Manager

Machine Learning Engineer

Data Engineer

Machine Learning Engineer

Data Engineer

Machine Learning Engineer

AI Product Manager

Dave Mayer

Delivery Manager

Dave serves as a Delivery Manager at Toptal with a focus on data engineering projects. He’s led support and development teams to multimillion-dollar successes and has transitioned professional service teams to Agile methodology. Dave’s expertise in data engineering ensures project deliveries are both innovative and exceptional.

Previously Managed Client

Technology Experience

15+ Years

Dilip Mathew Thomas

Verified Expert in Engineering

22+ Years

of Experience

Machine Learning Engineer

Along with earning a doctorate in computer science and engineering, Dilip has 22+ years of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail, which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.

Previously at

Stephane Ruault

Verified Expert in Engineering

24+ Years

of Experience

Data Engineer

Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.

Previously at

Abhimanyu Veer Aditya

Verified Expert in Engineering

19+ Years

of Experience

Machine Learning Engineer

Abhimanyu is a machine learning expert with more than 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.

Previously at

Adam Ivansky

Verified Expert in Engineering

12+ Years

of Experience

Data Engineer

Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.

Previously at

Dragos Dima

Verified Expert in Engineering

5+ Years

of Experience

Machine Learning Engineer

Dragos is a passionate machine learning engineer with over five years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.

Previously at

Christine Chen

Verified Expert in Product Management

17+ years

of Experience

AI Product Manager

Christine Chen, CFA, a fintech product leader, specializes in credit, alternative investments, and payments. Using AI and ML/DL, she drives product vision, design, and development for optimal market fit. Her highlights include democratizing a DTC investment app, developing a multimillion-dollar investment platform, leading AI product discovery for an asset management firm, and aiding the world's largest financial data provider in enterprise wide transformation.

Previously at

On-demand Talent & Teams

20,000+ vetted professionals, ready to deploy individually or in teams

AI Project Manager

AI Developer

Machine Learning Engineer

AI Product Manager

Machine Learning Engineer

Data Scientist

Machine Learning Engineer

Data Scientist

Machine Learning Engineer

Verified Expert in Project Management

16+ Years

of Experience

AI Project Manager

With extensive expertise in engineering and project management, particularly within Agile methodologies, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations.

Previously at

Verified Expert in Engineering

18+ Years

of Experience

AI Developer

Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, natural language processing, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.

Previously at

Verified Expert in Engineering

14+ Years

of Experience

Machine Learning Engineer

Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like Procter & Gamble and Hearst and startups in the healthcare, energy, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.

Previously at

Verified Expert in Product Management

10+ Years

of Experience

AI Product Manager

Charles is an industry leader in healthcare NLP with over a decade of experience as a data-science technical manager. As a player-coach, Charles has led multimillion-dollar projects in health-tech Fortune 500s, such as United Health, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With over a dozen publications and patents in his field, Charles is an authority in machine learning for named entity extraction and classification.

Previously at

Verified Expert in Engineering

6+ Years

of Experience

Machine Learning Engineer

Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers more than six years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.

Previously at

Verified Expert in Engineering

8+ Years

of Experience

Data Scientist

Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skill set in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.

Previously at

Verified Expert in Engineering

9+ Years

of Experience

Machine Learning Engineer

Michael is a builder who has owned the entire front-end services at Amazon Web Services. He loves collaborating with go-to-market and UX teams on creative products. Michael is passionate about solving problems for clients and providing robust solutions to delight customers. He specializes in full-stack applications as well as machine learning and Internet of Things development.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Data Scientist

With a Ph.D. in physics, a background in mathematics, and over 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline from data cleaning and analytics to a final predictive model, especially using machine learning models.

Previously at

Verified Expert in Engineering

7+ Years

of Experience

Machine Learning Engineer

Erekle is a machine learning engineer with extensive research experience. He works passionately to find new ways of pushing the limits of machine learning models. While developing new ideas, Erekle bridges gaps between theoretical concepts and real-life scenarios, bringing innovative research to the industry.

Previously at

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Empower Your Business With Toptal’s Artificial Intelligence Services

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy with Toptal's global network.

The University of Southern California innovates a first-of-its-kind scalable AI assistant.

Challenge: Toptal and USC partner to tackle mental health challenges with AI.

Solution: By working with Toptal, USC was able to accelerate delivery and expand the reach of the program. Students using Ask Ari report feeling empowered to better handle their anxiety and stress.

I worked with Toptal for a number of years in three different companies and have always had phenomenal results. Bringing them to the university was just a natural extension of my experience with them. You have somebody who really becomes part of the team.

Kelly Christoffersen

Senior Software Engineer, USC Institute for Creative Technologies

COLLABORATION THAT WORKS

How to Partner With Toptal for Your Artificial Intelligence Needs

Toptal matches you directly with global technology leaders from our network in hours—not weeks or months.

Talk to an Artificial Intelligence Lead

A leader from our team will work with you to understand your goals, technical needs, and team dynamics.

Get the Perfect Solution

From full end-to-end delivery to team augmentation—choose the best model for your business and project needs.

The Right Fit, Every Time

Work with Toptal’s Artificial Intelligence team on a trial basis (pay only if satisfied), ensuring that your needs are ultimately met.

Maximize your business performance with Toptal’s Artificial Intelligence services

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NEED AN ARTIFICIAL INTELLIGENCE SPECIALIST WHO DELIVERS VALUE FAST?

Schedule a Call With Toptal's Artificial Intelligence Team Today

The Technology Service division at Toptal provides world-class technology consulting and implementation services to clients. Through their experience with the world’s largest consulting firms and product companies, the division has served a range of clients across industries on their innovation and digital transformation initiatives.

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OUR THOUGHT LEADERSHIP

Explore Insights From the Artificial Intelligence Services Field

Read our latest articles and resources to keep you current on emerging trends in artificial intelligence, machine learning, prompt engineering, and more.

The 4 Crucial Stages of Successful Generative AI Integration

Adoption of Gen AI is on the rise, but research suggests that only 10% of companies are successfully scaling their AI initiatives. In this article, an artificial intelligence and data analytics leader explains the key steps organizations must take to achieve their AI ambitions.

Chas Stikeleather

10 Years of Experience

Chas Stikeleather is an artificial intelligence and data analytics leader with experience at Bain & Company and Toptal. He has spent most of his career helping Fortune 500 companies, private equity firms, and SMBs across industries to optimize their data. Chas holds a bachelor’s degree in economics from Stetson University and a master’s degree in analytics from North Carolina State University.

Previously at

NLP With Google Cloud Natural Language API

Maximilian Hopf

Verified Expert in Engineering

Machine Learning

Assessing the Business Value of New AI Initiatives: A Strategic Framework

Chas Stikeleather

Chas is an artificial intelligence and data analytics leader with experience at Bain & Company and Toptal. He has spent most of his career helping Fortune 500 companies, private equity firms, and SMBs across industries get the most out of their data. Chas holds a bachelor’s degree in economics from Stetson University and a master’s degree in analytics from North Carolina State University.