Top Machine Learning Jobs in Mexico City
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
The Director of Analytics and Data Platform Delivery at Pfizer leads product management and engineering for data analytics technologies, ensuring alignment with business objectives and oversight of operational activities. Responsibilities include managing teams, maintaining external partnerships, driving innovation, and promoting a DevSecOps mentality for improved delivery and quality.
The Director, Analytics and Data Platform Delivery is responsible for product management, engineering, and delivery of key data and analytics technologies at Pfizer. This role involves overseeing high-performing teams, managing relationships with external partners, and aligning operational capabilities with the company's strategic objectives. The director must demonstrate expertise in analytics technologies and foster a culture of innovation and shared responsibility within the team.
As a Data Scientist, you will leverage your analytic and technical skills to innovate and maintain data solutions, tackle business problems, develop credit bureau data expertise, conduct deep analysis, present findings, and enhance production infrastructure.
As a Senior Machine Learning Engineering Manager, you will develop and implement cutting-edge machine learning algorithms, manage the training of models, and collaborate with various teams to integrate AI functionalities into Atlassian products. Responsibilities include designing architectures, conducting experiments, and mentoring junior ML engineers.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
As a Machine Learning Engineer III, you will design, develop, and implement ML and optimization models for various applications, collaborate with multi-functional teams, deploy science models using cloud resources, and mentor the data science team in best practices for model development.
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As a Research Scientist in NLP at Kensho, you will develop and deploy innovative AI solutions, focusing on areas such as long-context question-answering and alignment techniques. You'll collaborate with a team of experienced scientists to fuel innovation and publish research, while leveraging substantial computational resources for model development.
As a Senior Research Scientist at Kensho, you will work on cutting-edge Machine Learning and Natural Language Processing projects, such as long-context document QA, complex reasoning, and developing Large Language Models. You will contribute to creating evaluation benchmarks and improving alignment techniques while collaborating with academia and leveraging access to high-performance GPUs.
The Senior Software Engineer will develop and implement machine learning models, collaborate with teams to deploy AI solutions, maintain ML pipelines, and stay updated with advancements in AI. Responsibilities encompass AI application development across Disney's segments.
The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.
In this role, you'll lead analytical initiatives by employing techniques like machine learning and optimization to address business problems. Responsibilities include managing risks, developing reports and dashboards, collaborating across departments, and delivering presentations on findings to various leadership levels.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
The Chief Scientist for Edge and Spectral AI at BAE Systems FAST Labs will lead research initiatives in advanced technologies like RF, ML, and cognitive warfare. Responsibilities include technical leadership, business development, and collaboration with scientific teams to tackle defense challenges and transition innovations into BAE Systems products.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
As a Senior ML Engineer at Curai Health, you will develop and enhance AI systems for patient and physician applications. You will fine-tune large language models, perform model evaluations, mentor team members, and collaborate across product, engineering, and clinical teams to generate impactful machine learning solutions.
As a Senior Applied Scientist at Chewy, you'll leverage machine learning and data science to enhance product discovery and optimize advertising solutions. Responsibilities include deploying models, collaborating with product and engineering teams, leading model development, publishing research, mentoring junior scientists, and communicating insights to leadership.
As an Applied Scientist at Chewy, you will develop machine learning and data science solutions to enhance the shopping experience for pet owners. Responsibilities include improving product relevance, click-through prediction models, and auction algorithms, while collaborating with product and engineering teams. You will also publish research and mentor junior scientists.
The Senior Lead Machine Learning Scientist will develop and implement machine learning algorithms, focusing on deep learning for multimodal data problems. This role involves leading research projects, collaborating with cross-functional teams, and staying current with advancements in AI and machine learning.
As a Machine Learning Researcher at Curai Health, you will drive innovation in telehealth by contributing to research-focused publications and product applications in primary healthcare. Collaborating with diverse experts, you will tackle complex healthcare challenges, mentor interns, and influence the direction of machine learning practices within the company.
The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.
Join the Predict team to enhance Alloy's machine learning fraud capabilities by architecting scalable systems, collaborating with multiple teams, and developing machine learning algorithms. You'll ensure low latency and high availability by managing interfaces between systems and participating in feature generation and on-call rotations.
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