Hire top-notch Machine Learning Engineers to deliver intelligent and robust solutions.
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Our team of machine learning engineers are highly familiar with computer science fundamentals, including data structures, algorithms, space and time complexity, and other CS concepts. They are also proficient in a variety of programming languages, including Python and R for machine learning and statistics, Spark and Hadoop for distributed computing, SQL for database administration, and Apache Kafka for data pre-processing, among others.
Mathematics has a wide range of applications in machine learning. Machine learning employs a variety of mathematical formulas to choose the best ML method for a given set of data, and uses arithmetic to define parameters and estimate confidence levels. Our ML Engineers have excellent command over applied mathematics, which enables them to craft excellent models and processes. This results in producing Top 1% talent for AM Trading to engage our machine learning developers in the top notch projects.
At AM Trading, you get the opportunity to hire machine learning engineers who’re highly familiar with Natural Language Processing (NLP). This technology, without a doubt, is crucial and integral to Machine Learning. It aims to teach computers human language and all of its intricacies. Our ML Engineers have a sound knowledge of Natural Language Processing libraries. These libraries help in breaking the text down into its grammar, extracting key phrases, and deleting unnecessary words, among other things.
AM Trading is an award-winning digital development company, helping business with product design, development and technology acceleration.
EY Announced AM Trading as an Entrepreneur Of The Year® 2022 Mid-Atlantic Award Winner
Recognized on the Inc. 5000 list of fastest growing private companies in America for 4 years in a row (2022, 2021, 2020 & 2019)
Recognized on The Financial Times list of The Americas’ Fastest Growing Companies 2022
Recognized for DevOps, Agile, and Artificial Intelligence and Machine Learning Expertise
Top Partner for Custom Software Development, Enterprise Mobile, and Digital Experiences
Recognized by Tech in Motion (Timmy Awards) for Best Tech Work Culture in Washington, DC for 2 years in a row (2021 & 2020)