Top Machine Learning Jobs in Mexico City

Apply sophisticated machine learning methods in the Time Series and Reinforcement Learning group at JPMorgan Chase. Develop scalable tools for real-world problems in finance and operations, collaborating with various lines of business. Lead projects from conception to deployment of production-level machine learning applications.

As Vice President in the Machine Learning Scientist - NLP team, responsible for applying advanced ML techniques to tasks like NLP, speech analytics, time series, and recommendation systems. Collaborate with various teams, drive firm-wide initiatives, develop ML models, and contribute to knowledge sharing community. PhD in a quantitative discipline with 3 years of industry experience or MS with 5 years. Strong background in NLP, deep learning, machine learning toolkits, big data, and scalable model training. Experience in designing experiments, intrinsically evaluating model performance, and effective communication.

Machine Learning Scientist specializing in Natural Language Processing (NLP) at a senior associate level. Responsibilities include researching and implementing machine learning models, collaborating with cross-functional teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3 years of industry experience, expertise in NLP and deep learning, proficiency in machine learning toolkits, and strong communication skills.

Research, develop, and implement state-of-the-art machine learning models for NLP, speech recognition, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions and drive firm-wide initiatives. Independently study, research, and experiment with new innovations in machine learning.

As a Senior Associate Machine Learning Scientist, you will leverage advanced machine learning techniques to tackle challenges in natural language processing, speech analytics, time series, and recommendation systems. You will collaborate with multiple teams to develop and deploy machine learning models, while also engaging in research and knowledge sharing within the organization.

Lead a modeling or data science engagement end-to-end, act as a subject matter expert and advisor, proactively monitor model performance and customer behavior, mentor junior team members.

Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.

The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.