Hire the Top 3% of Freelance Recommendation Systems Specialists

Toptal is a marketplace for top Recommendation Systems Specialists. Top companies and startups choose Toptal Recommendation Systems freelancers for their mission-critical software projects.

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Abhimanyu Veer Aditya

Freelance Recommendation Systems Specialist
United StatesToptal Member Since May 7, 2019

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.

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Ahmed Shaher

Freelance Recommendation Systems Specialist
EgyptToptal Member Since June 8, 2021

Ahmed is a senior data scientist with experience in innovative data science projects, including four years at Microsoft where he has worked on projects in the fintech, eCommerce, media, and oil and gas sectors. Ahmed has collaborated with customers' engineering teams and built complete pipelines, including data ingestion, machine learning models, and deployment to production. His industry experience is backed by a master's in computer science and machine learning from a top US business school.

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Ming Liu

Freelance Recommendation Systems Specialist
SingaporeToptal Member Since June 16, 2021

Ming is a machine learning engineer specializing in recommender and anti-fraud systems. He has been working in data science and AI for the past four years, including building and improving the recommender system for Shopee and TikTok, which have hundreds of millions of users and items. Ming's industry experience is backed by a master's degree in computer science.

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Leandro J M Machado

Freelance Recommendation Systems Specialist
BrazilToptal Member Since October 4, 2018

Leandro is a data scientist and since 2013, he's been delivering data and machine learning solutions for clients in the fields of eCommerce, advertising, insurance, and financial services. His expertise ranges from early-stage prototyping to deploying large-scale machine learning services.

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Dávid Natingga, Ph.D.

Freelance Recommendation Systems Specialist
SlovakiaToptal Member Since October 13, 2020

Dávid helps his clients solve the most complex analytical problems using mathematics, data science, and technology. He has aided numerous clients, including big names like Infosys, Palantir, Suez, and TomTom. Dávid's top niche is high-frequency time series analysis. He makes the impossible possible. His inventions encompass robust Fourier transform, robust anomaly detection, and overcoming the curse of higher dimensionality. Dávid's strengths include curiosity, creativity, and persistence.

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Carlos del Cacho

Freelance Recommendation Systems Specialist
SpainToptal Member Since November 2, 2019

With 15+ years of experience, Carlos has deep technical knowledge within the AI space. A rare breed with expertise in data engineering, data science, and general software architecture. A techie with a business heart, he has gained wisdom in online business models, retention strategies, churn analysis, LTV computation, and sales forecasting within a variety of industries.

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Thomas James Cartwright

Freelance Recommendation Systems Specialist
United KingdomToptal Member Since July 17, 2020

Thomas has three years of industry experience designing, developing and productionising machine learning solutions and five years of industry experience developing software solutions. He holds a Master of Science in AI (with merit) from the University of Edinburgh, specialising in traditional machine learning, deep learning, and reinforcement learning. Due to a keen interest in entrepreneurship, Thomas joined Toptal to contribute his expertise and explore new challenges.

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Adam Ivansky

Freelance Recommendation Systems Specialist
United StatesToptal Member Since November 6, 2018

Adam has nine years of experience as an engineer and two years of experience as a tech load. His tools of choice include Python 3, Snowflake, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to communicate effectively with both highly technical and non-technical specialists.

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Eriksson Monteiro

Freelance Recommendation Systems Specialist
PortugalToptal Member Since June 4, 2018

Eriksson possesses a PhD in computer science and is an experienced full-stack developer and machine learning engineer. For the past five years, he's built web and mobile applications and has participated in several machine learning tasks in diverse data science fields. He's particularly good at working with application frameworks such as Django, Play Framework, and Node.js.

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Toptal understood our project needs immediately. We were matched with an exceptional freelancer from Argentina who, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal makes connecting with superior developers and programmers very easy.

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As a small company with limited resources we can't afford to make expensive mistakes. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. It has been a great experience and one we'd repeat again in a heartbeat.

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How to Hire Recommendation Systems Specialists Through Toptal

1

Talk to One of Our Industry Experts

A Toptal director of engineering will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-Selected Talent

Within days, we'll introduce you to the right Recommendation Systems Specialist for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new Recommendation Systems Specialist for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

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FAQs

  • How are Toptal Recommendation Systems Specialists different?

    At Toptal, we thoroughly screen our Recommendation Systems Specialists to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.

  • Can I hire Recommendation Systems Specialists in less than 48 hours through Toptal?

    Depending on availability and how fast you can progress, you could start working with a Recommendation Systems Specialist within 48 hours of signing up.

  • What is the no-risk trial period for Toptal Recommendation Systems Specialists?

    We make sure that each engagement between you and your Recommendation Systems Specialist begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial.

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    Trusted Experts Only

    All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.

  • The Right Fit

    The Right Fit

    We have a knack for matching you with the right fit. Start working with your new hire on a no-risk trial period, paying only if satisfied.

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    We handle all aspects of billing, payments, and NDA’s. Let us take care of the overhead while you focus on building great products.

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    Flexible Engagements

    Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.

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