154 Ofertas de Machine Learning en Mexico

Vacante: Machine Learning / Data Science

Te estamos buscando en Satori Únete a nuestro equipo dinámico y trabaja en un proyecto desafiante e innovador.

¿Qué necesitamos?

• Ingeniería en sistemas o carrera afín.
• Experiencia de 3 años o más desarrollando modelos de Machine Learning utilizando herramientas y frameworks modernos
• Experiencia previa con Oracle Cloud Infrastructure (OCI)

¿Cuáles serían tus beneficios?

• Prestaciones de Ley.
• Lunes a Viernes.
• Sueldo Base
• Prestacion superior SGMM
• Esquema de pago mixto
• Participacion en proyectos innovadores y desafiantes
• Oportunidades de crecimiento y desarrollo profesional.
• Un equipo de trabajo colaborativo y dinámico.
• Vacante REMOTA

Si cumples con estos requisitos y estás listo para unirte a un equipo que valora la innovación y el trabajo en equipo, queremos conocerte

Tipo de puesto: Tiempo completo

Sueldo: $40,000.00 al mes

Lugar de trabajo: Empleo remoto

En Banregio buscamos a especialistas enMachine Learning & Deep Learningque forme parte de nuestro equipo de Analítica Avanzada y contribuya al desarrollo de soluciones inteligentes que impulsen la innovación en productos financieros, experiencia de clientes y eficiencia operativa.ResponsabilidadesDiseñar, desarrollar y desplegar modelos de Machine Learning y Deep Learning enfocados en predicción, segmentación, clasificación y detección de anomalías.Participar en todo el ciclo de vida de los modelos: desde la exploración de datos, feature engineering, entrenamiento, validación y puesta en producción.Colaborar con equipos de negocio, tecnología y datos para transformar necesidades estratégicas en soluciones escalables.Investigar y aplicar nuevas tendencias en IA generativa, NLP, visión por computadora y arquitecturas de redes neuronales aplicables al sector financiero.RequisitosCarreras en áreas como Ciencias Computacionales, Matemáticas, Física, Ingeniería en Sistemas, Actuaría o afines.Experiencia práctica en Machine Learning, Deep Learning y procesamiento de datos a gran escala .
Conocimiento en librerías y frameworks como TensorFlow, PyTorch, Scikit-learn.Experiencia en lenguajes de programación como Python, R o Scala .
Manejo de entornos de datos en la nube (AWS, Azure, GCP).
Conocimiento en bases de datos relacionales y no relacionales.Habilidades analíticas, capacidad de comunicación y pensamiento crítico.DeseableExperiencia en MLOps para implementación y monitoreo de modelos en producción.Conocimiento en arquitecturas de Big Data (Spark, Hadoop).
Participación en proyectos de IA aplicada en el sector financiero o fintech .
AWS, AZURELo que ofrecemosSer parte de un banco innovador con visión digital y de transformación tecnológica.Desarrollo profesional y capacitación en nuevas tecnologías.Esquema de compensación competitivo y prestaciones superiores a la ley.
"Banregio es una empresa que impulsa los espacios laborales inclusivos donde se respeta a todas las personas sin distinción de edad, sexo, género, raza, religión, orientación sexual, identidad, expresión de género, estatus social o discapacidad".

Mandatory Skills Description:

• Azure Databricks
• Big Data concepts
• Data Lake concept
• Machine Learning concepts

Project Description:

• The Azure Data Platform Engineer is responsible for implementation, designing, developing, debugging, integrating, transforming, consolidating, and troubleshooting structured and unstructured data systems for analytic and relational solutions. They will assist stakeholders, and team members to understand data through exploration, and strategy. Their main responsibilities include building out data processing pipelines, administering, managing, and building out structural and nonstructural Azure data platform solutions, applying and implementing secure data principles and patterns, creating advanced and optimized queries. They will work on many platforms such as Azure SQL, Cosmos DB, Azure Data Factory, Azure Synapse. This role will work closely with Solution Architects, Software Engineers, DevOps Engineers, QA Engineers, Project Managers, Information Security Engineers, and Delivery Managers.

Responsibilities:

• Must be a team player with get it done attitude
• Design and architect end-to-end data platform solutions on the Azure cloud platform, considering scalability, reliability, performance, and security.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data architecture designs.
• Develop and implement data models, schemas, and database structures to ensure efficient data storage and retrieval.
• Design and implement data integration solutions, including data ingestion, transformation, and data pipeline orchestration using Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure Logic Apps, Azure Functions).
• Optimize and tune data solutions for performance, ensuring efficient query execution and data processing.
• Implement data security and compliance measures, including data encryption, access controls, and data masking techniques.
• Work closely with data analysts, data scientists, and other stakeholders to understand their data requirements and provide guidance on data availability and accessibility.
• Collaborate with infrastructure teams to design and implement robust data storage and backup strategies, leveraging Azure storage services.
• Monitor and troubleshoot data platform solutions to ensure high availability, reliability, and performance.
• Stay up-to-date with the latest trends and advancements in Azure data services, data engineering, and data architecture, and provide recommendations for adopting new technologies and best practices.
• Eager to share knowledge with teammates in all forums and eager to learn from them
• Bachelor's degree in computer science/engineering or related technical field or equivalent experience
• Comprehensive knowledge of full Software Development Lifecycle (SDLC) including Continuous Integration Continuous Development (CI/CD) models.
• Strong knowledge of Data Structures and Algorithms.
• 8+ years of Software development with relational databases. Preferably .Net - C# - SQL
• Demonstrable debugging skills in MS SQL desired.
• Demonstrable experience with Relational and Non-relational databases.
• Demonstrable experience building data pipelines, transformations, analytical environments
• Demonstrable experience with Azure Data Platform (Synapse, SQL, Cosmos DB, Databricks, Machine Learning workspace)
• Collaborate with Product Managers, Solution Architects, DevOps and Information Security teams to understand data requirements for software development in an Agile environment
• Compose and maintain detailed design specifications and component documents.
• Design alongside a team of engineers focusing on 'data first' thinking while incorporating different end user experiences.
• Embrace and follow best practices and coding standards (e.g., code reviews, logging and instrumentation, static/dynamic code analysis, code coverage, unit, integration tests).
• Strong initiative to find ways to improve solutions, systems, and processes

Nice-to-Have Skills Description:

• Azure Data Engineer Associate
• Azure Cosmos DB Specialty
• Azure Administrator Associate
• Azure Data Scientist Associate
• Azure DevOps Engineer Expert

About Us
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world's largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page

Our Data Science and ML Team
At Nubank we aim to empower our customers to take control of their financial lives. The Data Science team develops models and leverages its expertise to provide the best experience and products, using statistics, Artificial Intelligence and lots of creativity to predict our customers' behaviors. Our team strives for cutting edge model development techniques, from Machine Learning to Reinforcement Learning and beyond. We're partnering with business and technology to make speed of thought decisions possible.

The Principles That Guide Us
Diverse ensembles don't overfit;

We reinforce each other's learning;

Mind the person behind the data point;

We share the same objective function;

We trust our confidence interval;

Pursue the global maxima.

The position
This is an individual contributor role as Senior Machine Learning Engineer. We're looking for someone with a record of deploying Machine Learning models into production environments, running experiments, proficient in Data Engineering, and eager to keep pushing themselves and the team to follow the best practices of Machine Learning Engineering.

You will be responsible for

• Productionalize and scale machine learning models in Nu that will directly impact business outcomes;
• Design the implementation of experiments;
• Integrate and leverage external data sources to feed our models;
• Lead the solution of the most challenging machine learning engineering projects we face;
• Expand the team knowledge, inspire
• Bring expertise to the team to help design and prioritize projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.);
• Ensure the team maintains a high level of technical excellence;
• Contribute to a technical culture in the local team;
• Look and implement improvements in the way we work and organize.

We are looking for a person who has

• Strong coding skills Python/Scala or equivalent languages;
• Understanding of engineering challenges in a production environment;
• Openness to learn new technologies, like Clojure;
• Good understanding of a model development and deployment pipeline;
• Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc;
• Nice data handling skills, Spark Data frames or SQL proficiency is a plus;
• English language proficiency

Our Benefits

• Chance of earning equity at Nubank
• Extended maternity and paternity leaves
• Health and life insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus
• Gym partnership

Role Location
Mexico City, Mexico.

Our Nu Way of Working

Our work model is hybrid and has cycles that can be from two to three months according to the business of expertise. For every eight or twelve weeks of remote work, one will be at the office. Check more information here

Diversity & Inclusion

At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.

Descripción de la empresa

Walmart México

Inetum es un grupo internacional de consultoría digital ágil. En la era post-transformación digital, nuestro propósito es permitir que cada una de las más de 27,000 personas que forman parte de nuestro equipo se renueve continuamente, viviendo de forma positiva su propio flow digital.

Con presencia en 26 países, promovemos trayectorias profesionales flexibles, innovación local y un equilibrio saludable entre la vida personal y profesional. Además, Inetum ha sido reconocida como Top Employer, certificación que avala nuestro compromiso con el bienestar, el desarrollo profesional y la excelencia en la gestión del talento.

Descripción del empleo

Desarrollo de modelos de Machine Learning a través de bibliotecas de ML

Key hardskill:

• Habilidades avanzadas de programación en Python (nivel SR)
• Desarrollo de modelos de Machine Learning a través de bibliotecas de ML, como Scikit-Learn (nivel Pr) scikit-learn es la básica, si no la maneja no lo consideramos, cualquier otra es deseable
• Creación de imágenes de Docker (nivel Pr)
• Automatización de flujos a través de alguna herramienta (la que sea) ejemplos son ariflow, kubeflow, incluso hecha manualmente desde scratch desde la terminal pero que te asegure que una vez construido no existe intervención humana y las ejecuciones están 100% automáticas. (aquí el nivel no se puede medir, se pide que al menos haya hecho uno en toda su experiencia pero que asegure que quedó 100% automático)
• SQL (nivel Pr)
• Conocimiento en buenas prácticas de MLOPs (nivel Pr)
• Desarrollo de endpoints (nivel Pr)

Requisitos

• Licenciatura o Ingeniería en Sistemas Computacionales, Ciencias de la Computación, Matemáticas Aplicadas, Inteligencia Artificial o carrera tecnica afín.
• En caso de no contar con el nivel académico requerido, se deberá acreditar al menos 4 años de experiencia profesional comprobable en áreas relacionadas.
• Se valorarán aunque no son excluyentes estudios de posgrado, certificaciones o cursos especializados en Machine Learning, MLOps o Ciencia de Datos.

Información adicional

Deseable:

• Habilidades de programación en Spark (nivel Pr)
• Uso de la librería MLFLow (nivel Jr)
• Desarrollo de modelos de ML en la plataforma de Ciencia de Datos Google Cloud Vertex (nivel Pr)
• Automatización de flujos a través de kubeflow(nivel Pr)
• Implementación de prácticas de CI/CD, preferible utilizando Concord y Looper (nivel Pr)
• Implementación de monitoreo de soluciones de Ciencia (nivel Pr)

We are seeking an exceptional Machine Learning Engineer to spearhead the development of production-ready AI products and pipelines.

This is a high-impact role that will play a central part in building ML powered solutions for enterprise clients.

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Machine Learning Engineer role at 2IT Jobs in Mexico City, Mexico.

• Algorithms and models: A strong grasp of various machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
• Deep learning: Understanding deep learning concepts, especially if the role involves areas like computer vision or natural language processing.
• Model lifecycle management: Experience with the entire ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring.

• Pensum Cerrado, Graduado o estudiante activo de las carreras a fines de Informática.
• Edad entre 25 a 40 años
• De 3 a 5 años de experiencia
• Inglés avanzado
• Tiempo completo
• Modalidad presencial en Ciudad de México
• Horario de lunes a viernes de 8:00 am a 6:00 pm

• Algorithms and models: A strong grasp of various machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
• Deep learning: Understanding deep learning concepts, especially if the role involves areas like computer vision or natural language processing.
• Model lifecycle management: Experience with the entire ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

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About The Company
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

About The Company
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.
So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude.
About The Team
Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform – providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team – delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences
Role Overview
We are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience.
Tech Stack
Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes:

• Languages: Python, Golang, Scala, Ruby on Rails
• Orchestration & Pipelines: Airflow, Databricks, Spark
• ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc.
• APIs & Integration: HTTP APIs, gRPC
• Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform.
  

• Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems.
• Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services.
• Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI.
• Conduct model experimentation, A/B testing, and performance analysis to guide production deployment.
• Optimize and refactor existing systems for performance, scalability, and reliability.
• Ensure data accuracy, integrity, and quality through automated validation and monitoring.
• Participate in code reviews and uphold engineering best practices.
• Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring.
  

• 3+ years of experience as a professional software or machine learning engineer.
• Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered).
• Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
• Experience working with systems at scale and deploying to production environments.
• Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda.
• Strong understanding of ML model trade-offs, scaling considerations, and performance optimization.
• Bachelor’s in Computer Science or equivalent professional experience.
  

• Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration.
• Experience with feature stores, model serving & monitoring platforms, and experimentation systems.
• Familiarity with large-scale system design for ML.
  

• Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Onboarding stipend for home office peripherals + accessories
• Learning & Development allowance
• Learning & Development programs
• Quarterly stipend for Wellness, WiFi, etc.
• Mental Health support & resources
• Free subscription to the Scribd Inc. suite of products
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company-wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
• Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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Corporate Overview

Powering Performance Marketplaces in Digital Media

QuinStreet is a pioneer in powering decentralized onlinemarketplaces that match searchers and “research and compare” consumers with brands . We run these virtual- and private-label marketplaces in one of the nation’s largest media networks.

Our industry leading segmentation and AI-drivenmatching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results.

Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience.

We believe in:

• The direct measurability of digital media.


• Performance marketing. (We pioneered it.)


• The advantages of technology.

We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel.

Job Category

We’re looking for an extremely smart Algorithms Engineer to become a core member of the team that creates algorithms for pricing, targeting, demand fulfillment, and fraud detection in our marketing platform.

This role will be based in Mexico.

Responsibilities

• Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.


• Apply mathematical optimization techniques to solve network problems.


• Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.


• Work with our Engineering and Business teams to implement scalable, reliable and useful solutions for our various business units.


• Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt to your work.


• Get the satisfaction of knowing that you helped connect millions of visitors to our affiliates and internal properties to the products and services they are searching for.

Requirements

• 2+ years of experience in software development


• MS in Computer Science or related area, or relevant work experience


• Deep experience in applied machine learning, statistical learning, mathematical optimization and scalable computing


• Strong experience building production level code (Python is a plus)


• Experience with both supervised and unsupervised learning on large datasets


• Succeed as an individual but to collaborate and strive for the success of your team


• Strong sense of ownership in everything you build

QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law.

Please see QuinStreet’s Employee Privacy Notice here.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Internet Publishing and Marketing Services

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