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Hire Top Data Scientists and Machine Learning Engineers. SME-vetted with 2% Acceptance Rate.

Harvard-incubated Experfy deploys Data Scientists & Machine Learning Engineers for your mission critical Data Science projects. Our Experts specialize in technologies such as Deep Learning, Computer Vision, and Natural Language Processing. All vetting is conducted by AI subject matter experts and only top 2% of the candidates are accepted in our TalentClouds.

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Zeydy Ortiz, Ph. D.

Zeydy Ortiz, Ph. D.

Previously at IBM and Lenovo

Zeydy Ortiz, Ph. D.

Douglas Clark

Previously at IBM, Lockheed Martin, and United States Air Force

Zeydy Ortiz, Ph. D.

Shashi Satyanarayana

Previously at Verizon, VISA, and Walmart Labs

Zeydy Ortiz, Ph. D.

Sudhir Varma

Previously at Bristol Myers-Squibb and Lockheed Martin

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Hire from AI and Machine Learning TalentClouds in three easy steps

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Experfy TalentClouds are virtual pools of pre-vetted talent built for specific skills, roles, and industries. Every candidate who applies to a TalentCloud goes through a rigorous vetting process which includes a technical assessment by Experfy SMEs. With TalentClouds you significantly reduce your time to hire and receive white glove service through an Experfy account manager.

Post your requirements

Fill out a short form, telling us about your talent requirements, the skills you need, the duration of your project, and your budget.

Have a call with your account manager

An account manager is assigned to you and responsible for translating your needs into a pitch for our experts who are in high demand.

Review profiles and hire a top candidate

Your account manager presents the best two candidate profiles after confirming their availability. You interview them and select the best candidate for the job.

AI and Machine Learning TalentClouds

Statistician/Mathematician

This TalentCloud requires expertise in using mathematical and statistical models to analyze data and recommend useful solutions. The TalentCloud members are expected to have a formal graduate degree in statistics or mathematics and should be familiar with commonly used tools...

Data Scientist (Security Analytics and Cyber Security)

This TalentCloud requires expertise in applying data science to cyber security problems and creating insights by determining and discovering hidden information in datasets, metrics, and other data fields. The extensive knowledge of applying data mining techniques, conducting...

Data Scientist (Supply Chain & Sales Analytics)

Experts in this TalentCloud should be able to obtain, process, clean, and analyze structured and unstructured data to build models that generate actionable insights based on supply chain analytics. This TalentCloud requires 2+ years of previous work in supply chain analytics...

Data Scientist (Game Analytics)

Data scientists in this TalentCloud should be able to help game developers and publishers to drive conversions, refine critical flows, and boost retention for their titles by making the right decisions based on data. A good understanding of the gaming industry and common...

Data Scientist (Insurance)

Data scientists in the insurance industry should be able to use statistical models and supervised and unsupervised machine learning to solve a variety of business problems. Experts in this TalentCloud are expected to have 3+ years of experience in the insurance industry.  Required...

Data Scientist (HR Analytics)

Human resource management is an essential part of any organization. It is often said that the real value of each organization is its human capital. Experts in this TalentCloud should be able to tap into data science and analytics in order to better attract, recruit, train,...

Data Scientist (Time Series Analysis and Forecasting)

TalentCloud members should be able to use mathematical and statistical models to analyze time series data and recommend useful solutions. This TalentCloud requires you to have extensive knowledge of time series models that are used for large-scale data sets. Experience with...

Data Scientist (Finance and Actuarial)

This TalentCloud requires data scientists with strong expertise in finance and actuarial who can solve a variety of important problems in the industry. This TalentCloud seeks experts with extensive knowledge of data science as well as financial markets. Data scientists with...

Data Scientist (Spatial Statistics)

Experts in Geospatial analytics should be able to gather, manipulate and display geographic information system (GIS) data and imagery including GPS and satellite photographs. This TalentCloud requires expertise in obtaining, processing, cleaning, and analyzing structured...

Data Scientist (Generalist)

Experts in this TalentCloud should be able to obtain, process, clean, and analyze structured and unstructured data to build models that generate actionable insights based on analytics. This TalentCloud requires experts who are passionate about analyzing data using a variety...

Data Scientist (Computational Biology)

This TalentCloud seeks Computational Biologists who have extensive knowledge of developing computational models that help to obtain qualitative and quantitative knowledge of biomedical processes and structures. These activities should contribute to enriching the analytical...

Data Scientist (Signal Processing/Sensor Data)

This TalentCloud requires a great deal of experience in processing and analyzing signal data including audio signals, pictures, video signals, geophysical signals (seismic data), sonar and radar data, and medical signals (EEG, ECG, EMG). Experts in this TalentCloud should...

Data Scientist (Computer Vision and Image Processing)

Computer Vision Data Scientists should be able to model, prototype, and develop image recognition engines. Experience with Neural Networks and deep learning models are required at a minimum. This TalentCloud involves the development and prototyping of architectures and models...

Data Scientist (Marketing Analytics, Consumer Analytics, Consumer Insights)

Data scientists with extensive experience in dealing with consumer data. This TalentCloud requires expertise in building machine learning and statistical models to understand and forecast consumer behavior in a variety of business sectors. The data scientists should be familiar...

Conversational AI (Natural Language Processing & Natural Language Understanding, Speech and Voice Analytics)

Experts in this TalentCloud should be able to deal with unstructured data such as emails, text messages, notes, voice data, and semi-structured data in combination with structured data. This TalentCloud requires you to build NLP Machine Learning/Deep Learning models using...

Data Scientist (Oil and Exploration, Remote Sensing)

As in every industry today, the Oil and Gas industry seeks ways to improve efficiencies, reduce operating costs and increase revenues. Data science and business analytics experts should be able to offer exemplary solutions that, when embraced by the industry, will be instrumental...

Generative AI TalentCloud

This TalentCloud requires expertise in applying Generative AI and data science more broadly helping take assistive technology to a new level, reducing application development time, and bringing powerful capabilities to nontechnical users. Our Generative AI consultants bring...

Data Scientist (Deep Learning)

This TalentCloud requires you to have extensive experience in designing, developing, and evaluating AI solutions based on deep learning paradigms. DL data scientists should be experts in different architectures of deep learning models such as RNN, LSTM, CNN, VAE, DCN, and...

Machine Learning Engineer

This TalentCloud requires expertise in creating pipelines for obtaining, storing, and processing data as well as building, testing, and deploying machine learning models. ML engineers should be experts in the A to Z of data science projects including data sourcing, web scraping,...

Data Science Platforms and Tools Developer

The developer should have extensive experience with operationalizing AI projects in production environments. TalentCloud members in this area should be proficient in both client and server software (full stack). They also need to have some familiarity with AI and machine...

Data Scientist (Healthcare and Pharma)

Data science in healthcare is a growing area within the industry. Data scientists in this TalentCloud should have worked with healthcare data such as medical claims, EMRs, and other related data that can solve important problems in the industry. This TalentCloud requires...

Data Scientist (Retail)

Data scientists in the retail industry have been working on large volumes of complex, multi-dimensional data to understand consumer behavior. This TalentCloud requires experts to have extensive knowledge of working with large volumes of data and deploying advanced models...

Thought Leadership

The latest insight from thought leaders on our Future of Work Pioneers podcast, webinars, and Experfy Insights blog.

Thought Leadership

The latest insight from thought leaders on our Future of Work Pioneers podcast, webinars, and Experfy Insights blog.
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