145 Ofertas de Desarrollador Ia 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".

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)

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.

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.

We’re looking for a Machine Learning Engineer who can balance research and productization to help scale our end-to-end ML pipeline. This is a high-impact role where you’ll have full ownership of ML projects - from exploring cutting-edge research to building, deploying, and maintaining production systems used by global customers.

If you’re passionate about computer vision, anomaly detection, and applying state-of-the-art models to solve real-world problems at scale, this is a chance to make a meaningful impact.

Location: Remote (Latam)

What You’ll Do

• Read, evaluate, and adapt recent ML research papers into real-world business applications.
• Prototype, test, and optimize visual anomaly detection and computer vision models .
• Adapt models for cost-efficient and scalable deployment, primarily in AWS .
• Write production-ready Python code to ensure maintainable, high-performance ML systems.
• Own large-scale ML pipelines end-to-end: data management, model training, deployment, monitoring, and performance measurement.
• Collaborate closely with R&D, product, and engineering teams to deliver ML solutions that directly create customer value.
• Continuously refine ML workflows for efficiency, from model management to resource scheduling.

What We’re Looking For

• Proven experience building and deploying ML systems into production.
• Strong coding skills in Python, with a focus on maintainability and scalability.
• Expertise in deep learning model training, optimization, and deployment.
• Background in computer vision (experience with anomaly detection is a strong plus).
• Ability to read and translate academic research into practical business use cases.
• Strong understanding of ML pipelines including data management, model lifecycle, and monitoring.
• Startup mindset: resourceful, self-driven, and comfortable working with minimal guidance.

Nice to Have:

• Experience with AWS or other cloud platforms for ML deployment.
• Knowledge of GPU optimization and cost-efficient ML infrastructure.
• Familiarity with infrastructure-as-code tools and scaling ML systems in production.

Why Join

• Take end-to-end ownership of ML projects with measurable customer impact.
• Work on cutting-edge research and real-world productization side by side.
• Collaborate with a mission-driven, supportive, and highly technical team.
• Be part of a fast-growing company solving high-leverage problems with AI.

Mid-Senior level

Full-time

Information Technology

Software Development

Join to apply for the Machine Learning Engineer role at 2IT Jobs .

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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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Join to apply for the Machine Learning Engineer role at Scribd, Inc.

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Join to apply for the Machine Learning Engineer role at Scribd, Inc.

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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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