Top Machine Learning Jobs in Mexico City

As a Data Scientist at Figma, you will work closely with product teams to utilize data science methodologies to influence product strategy, enhance user experience, and optimize product development. Responsibilities include leveraging machine learning, designing experiments, and collaborating with cross-functional teams to analyze user behavior and inform decision-making.

As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning. You will analyze vast data sets, create complex models to predict market movements, and work with a team of experts to drive innovative solutions for trading strategies.

As a Senior Data Scientist, you will analyze and model data to create interventions for U.S. Customs and Border Protection. Responsibilities include collaborating with stakeholders, developing project plans, cleaning and transforming data, building predictive models, and presenting findings to both technical and non-technical audiences.

As a Senior Leader at Axtria, you will lead transformational projects in cloud data management and analytics for life sciences clients, ensuring delivery excellence and strategic client engagement while fostering client relationships and driving innovation in technologies such as AI and cloud platforms.

The Technical Director will guide the technical direction of Epic's Advanced Analytics and ML Services team, focusing on scalable solutions for batch and real-time workloads. Responsibilities include championing ML integration efforts, collaborating with stakeholders, mentoring team members, and overseeing the design, planning, and execution of data systems.

The Research Scientist will conduct advanced research in AI and autonomous systems, focusing on scalable autonomy stacks and closed-loop simulations. The role involves collaboration with peers and engineers to develop algorithms and contribute to industry-leading publications. Candidates should have a strong research background and be passionate about deploying models in real-world autonomous systems.

The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.

Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.

Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.

The Senior Sales Analyst will lead analyses that drive strategic decision making for the commercial organization, focusing on financial forecasting, building models, and creating dashboards to present actionable insights. Responsibilities include supporting the development of metrics, mentoring other analysts, and designing new processes for team efficiency.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

The Data Scientist II role involves building machine learning models, researching product and customer behavior data for improvements, and employing predictive analytics techniques. You'll be responsible for conducting advanced data collection and analysis, making recommendations for data systems enhancement, and supporting the creation of complex machine learning algorithms.

As an AI Tutor, you'll teach and evaluate AI models on data science principles, including statistical modeling, machine learning, and data visualization. You'll provide feedback to enhance AI understanding and conduct tests to identify model vulnerabilities and biases.

The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.

The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.

The Quantitative Associate will develop models supporting decision making in revenue functions, focusing on sales of renewable power, management of solar generation assets, and optimization of battery storage. Responsibilities include designing risk management tools, conducting market analysis, and creating innovative products to maximize profitability and minimize risks.