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Streamline and scale your ML projects with Toptal's MLOps Services. Our ML experts craft tailored MLOps strategies, automate pipelines, and integrate DataOps to enhance efficiency and innovation while ensuring security and compliance.
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Get a Free Consultation NowOur MLOps experts leverage their experience at leading companies to develop and deploy tailored MLOps solutions to meet your business needs and unique industry demands for sustainable results and long-term success.
Artificial Intelligence Practice LeadAs the leader of Toptal’s Global Artificial Intelligence services, Chas drives the development and delivery of AI solutions, leveraging teams of top talent to execute high-complexity projects. Before Toptal, Chas was integral to establishing and leading a dedicated data science team for the largest practice, private equity, at Bain's Data Science group. He has also been instrumental in advancing the application and integration of data science and AI strategies in numerous Fortune 100 companies.Chas leads Toptal's Global Artificial Intelligence services, delivering AI solutions for complex challenges by leveraging top-tier talent.
Previously At
Artificial Intelligence Practice Lead
As the leader of Toptal’s Global Artificial Intelligence services, Chas drives the development and delivery of AI solutions, leveraging teams of top talent to execute high-complexity projects. Before Toptal, Chas was integral to establishing and leading a dedicated data science team for the largest practice, private equity, at Bain's Data Science group. He has also been instrumental in advancing the application and integration of data science and AI strategies in numerous Fortune 100 companies.
Previously at
Technology Experience
10+ years
Delivery Manager
Lauren serves as the Senior Director of Managed Delivery at Toptal with a focus on driving high-impact innovation and implementing cutting-edge technologies across diverse client portfolios, from global startups to Fortune 500 companies. Her expertise in product strategy, program development, and performance optimization contributes to her success in crafting forward-thinking solutions that redefine success in the ever-evolving tech landscape.
Previously Managed Client
Technology Experience
10+ Years
13+ Years
of Experience
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 Data and AI Fundamentals class.
Previously at
12+ Years
of Experience
Filip is a machine learning engineer with many 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
24+ Years
of Experience
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
15+ Years
of Experience
Olcay is a data engineer with a PhD in computer science and 15+ years of professional experience with extensive projects. He is a data warehouse (DWH) expert and a developer who focuses on productivity using robotics. He also has superior communication, decision-making, and organizational expertise backed by a master's degree in business management. Olcay is an excellent team player and leader who undertakes challenging jobs with his outstanding analytical and problem-solving skills.
Previously at
12+ Years
of Experience
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 non-technical specialists.
Previously at
11+ Years
of Experience
Horia’s industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has more than 11 years of experience applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two bachelor's degrees specializing in cognitive and computer science at UC Berkeley.
Previously at
15+ Years
of Experience
Divya is a fractional product leader with diverse experience in software engineering, consulting, and product management. She has held multiple leadership roles at high-performing organizations such as Facebook, McKinsey, and Y Combinator-backed startups. She can help companies build high-performing product teams, set a product strategy, and improve teams’ execution.
Previously at
18+ Years
of Experience
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, NLP, 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
14+ Years
of Experience
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
19+ Years
of Experience
Abhimanyu is a machine learning expert with 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
24+ Years
of Experience
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, 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
5+ Years
of Experience
Dragos is a passionate machine learning engineer with more than 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
6+ Years
of Experience
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
13+ Years
of Experience
Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.
Previously at
7+ Years
of Experience
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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With experience at the world’s leading companies, our talent brings valuable insights and expertise to ensure world-class outcomes.
WHY ORGANIZATIONS CHOOSE US
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
USC innovates a first-of-its-kind scalable AI assistant.
Challenge: Toptal and USC partner tackle mental health challenges with AI.
Impact: 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
OUR THOUGHT LEADERSHIP
Read the latest articles and resources to keep you current on emerging trends in MLOps.
Working with non-numerical data can be challenging, even for seasoned data scientists. To make good use of such data, it needs to be transformed. But how? In this article, Toptal Data Scientist Yaroslav Kopotilov will introduce you to embeddings and demonstrate how they can be used to visualize complex data and make it usable.
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