Machine Learning Engineer Salary at Mtx B2b Solutions Llc BETA

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge As a Machine Learnin

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge As a Machine Learnin

Design and develop Machine learning algorithms for both batch (hourly) and online (< 1 second latency) inference use cases. ● Fine-tuning the model performance, and packaging the model into well-known frameworks such as pyTorch, lightGBM, and ready for production. ● Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams. ● Work in an Agile environment that focuses on collaboration and teamwork 5+ years of software experience (preferably in python or java environment), with 3+ years of relevant ML and data science experience. ● Familiarity with Natural Language Processing (NLP) and classical ML algorithms. ● Hands-on experience on fine-tuning algorithms, and packaging the code into production-ready model classes. ● Proven experience working on cloud environments such as AWS, GCP, Azure. ● Expertise with the entire ML life-cycle, including data wrangling and cleaning, EDA, and model shipping. Preferred Qualifications ● Expe

Senior Machine Learning Engineer Dallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones) $175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience. They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models. Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment. Role: Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions. Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics. Depl

Locations: VA - Richmond, United States of America, Richmond, VirginiaDistinguished Machine Learning Engineer- Remote EligibleDistinguished Machine Learning Engineer(Director-level)At Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One''s commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML. As a Capital One Machine Learning Engineer, you''ll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You''ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging

Center 1 (19052), United States of America, McLean, VirginiaSenior Machine Learning Engineer (Remote-Eligible)As a Capital One Machine Learning Engineer (MLE), you''ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You''ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You''ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You''ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you''ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you''ll be expected to perform many ML engineering activities, including one or more of the following:

Senior Machine Learning Engineer Dallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones) $175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience. They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models. Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment. Role: Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions. Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics. Depl

Locations: VA - Richmond, United States of America, Richmond, VirginiaDistinguished Machine Learning Engineer- Remote EligibleDistinguished Machine Learning Engineer(Director-level)At Capital One, we believe that machine learning represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One''s commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Center for Machine Learning is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML. As a Capital One Machine Learning Engineer, you''ll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You''ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging