121 Ofertas de Ai Devops Engineer (mexico) en Mexico

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.

Direct message the job poster from VariaCode

Talent and Client Specialist, & A powered Mom 24/7

Location: Latam Based

Remote Job

Compensation: USD Payment

Employment type: Contractor

A versatile engineer responsible for bridging data engineering, cloud infrastructure, and the Machine Learning (ML) lifecycle. This role focuses on designing, building, and maintaining robust, scalable, and reproducible ML systems from data ingestion and feature engineering to model deployment and monitoring.

• Data and Feature Engineering Focus: Design and manage data pipelines for ingestion, transformation, and enrichment of data to feed ML models, ensuring scalability and consistency.
• Feature stores: Build and operate reliable, reusable feature stores that guarantee consistency between training and inference.
• Data automation: Automate data flows from various sources (CRM, ERPs, etc.) into data warehouses or lakes (e.g., BigQuery, Snowflake).
• Collaboration with data scientists: Work on versioning of datasets, features, and models (using tools like Feast, Great Expectations).
• Data quality and monitoring: Implement data quality mechanisms, lineage, drift monitoring, and anomaly detection.
• Performance optimization: Optimize the performance and cost of both batch and streaming data processes (using Spark, Kafka, Airflow, etc.).

• Cloud design and management: Design and manage the cloud infrastructure (primarily AWS, with knowledge of GCP/Azure as a plus) for ML workloads (training, inference, batch).
• Kubernetes: Implement and maintain Kubernetes clusters (EKS, GKE, or AKS) to orchestrate ML services and model deployments.
• CI/CD for models and data pipelines: Automate the continuous deployment (CI/CD) of models and data pipelines (using tools like GitHub Actions, ArgoCD, Tekton).
• Inference: Manage scalable inference (real-time and batch) using solutions like SageMaker, KServe, Seldon Core, BentoML.
• Infrastructure as Code: Apply IaC principles using Terraform, Pulumi, or CDK.
• Monitoring and security: Implement comprehensive monitoring, logging, and alerting for models and services (Prometheus, Grafana, CloudWatch, Datadog).
• Security and cost management: Ensure security, compliance, and cost management in ML environments.
• Platform scale: Scale internal platforms to enable self-service model deployment for data scientists.
• Experience: 3+ years in MLOps, Data Engineering, DevOps, or Cloud Engineering.
• Orchestration: Solid experience with workflow orchestrators like Apache Airflow, Prefect, or Dagster.
• Cloud & Containers: Deep experience in AWS (EC2, S3, EKS, SageMaker) or other major cloud providers, and mastery of Kubernetes and Docker.
• Data Processing: Advanced SQL and data processing languages (Python, PySpark).
• Data Storage: Experience with BigQuery, Snowflake, Delta Lake, and related storage solutions.
• IaC & CI/CD: Proficiency with Infrastructure as Code tools (Terraform/Pulumi) and implementing CI/CD for both data pipelines and models.
• ML Tools: Knowledge of feature stores (Feast, Tecton), data/model monitoring (Great Expectations, Monte Carlo), and tracking/deployment tools (MLflow, Kubeflow, SageMaker Pipelines).
• Software Engineering: Scripting (Python, Bash), Git, and good software engineering practices.
• ML Frameworks: Familiarity with Scikit-learn, PyTorch, TensorFlow and their operationalization requirements.

• Experience in startups, scale-ups, fintech, or platforms focused on revenue operations.
• Background in high-volume, event-driven environments (e.g., SaaS).
• Experience with message brokering systems like Kafka or Pub/Sub.
• Knowledge of data regulations or experience in environments with demanding SLAs.
• Participation in projects where data directly impacts predictive business models.

• Mid-Senior level

• Full-time

• Business Development

• IT Services and IT Consulting

Referrals increase your chances of interviewing at VariaCode by 2x

We’re not applying to this job: Junior Data Scientist for an E-commerce Company (US-Based/Remote) — Colombia $12,000.00-$24,000.00 2 weeks ago

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will possess a strong background in NLP, LLMs, and Python programming. This role involves collaborating closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models, as well as integrate generative AI solutions into existing workflows.

• Collaborate with cross-functional teams to design and deliver high-performance AI models, including NLP, computer vision, semantic engines, Retrieval-Augmented Generation (RAG), linguistic analysis, risk management, and time-series prediction models.
• Integrate generative AI solutions into existing workflow systems.
• Train, tune, and optimize AI models and algorithms for enhanced performance.
• Implement complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes.
• Create ML/AI models for business teams and establish metrics to track their accuracy and performance.
• Oversee the full lifecycle of algorithm development, from ideation to deployment and monitoring.
• Evaluate and rank ML algorithms based on their potential success in solving specific problems.
• Serve as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions.

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will possess a strong background in NLP, LLMs, and Python programming. This role involves collaborating closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models, as well as integrate generative AI solutions into existing workflows.

• Collaborate with cross-functional teams to design and deliver high-performance AI models, including NLP, computer vision, semantic engines, Retrieval-Augmented Generation (RAG), linguistic analysis, risk management, and time-series prediction models.
• Integrate generative AI solutions into existing workflow systems.
• Train, tune, and optimize AI models and algorithms for enhanced performance.
• Implement complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes.
• Create ML/AI models for business teams and establish metrics to track their accuracy and performance.
• Oversee the full lifecycle of algorithm development, from ideation to deployment and monitoring.
• Evaluate and rank ML algorithms based on their potential success in solving specific problems.
• Serve as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions.

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.

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.

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.

• 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

• 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

Mexico City, Mexico.

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.

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 currently searching for a full-time AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer) to work remotely for our US employer clients.

Submit your resume to GlobalPros.ai's, an exclusive community of the world's top pre-vetted developers dedicated to precisely matching you with our US employers.

GlobalPros.ai is followed internationally by over 13,000 employers, agencies and the world's top developers.

• Competitive Compensation . Compensation is negotiable and commensurate with your experience and expertise.


• Pre-vetting so you're 2x more likely to be hired . Recent studies by Indeed and LinkedIn show pre-vetted candidates like you are twice as likely to be hired.


• Shortlist competitive advantage . Our machine learning technology matches you precisely to job requirements and because your pre-vetted ensures you're shortlisted ahead of other candidates.


• Personalized career support . Free one-on-one career counseling and interview prep to help guarantee you succeed.


• Anonymity . If you're employed but open to offers, your profile is anonymous and is not available on our website or otherwise online. When matched with our clients, your profile is anonymous until you agree to be interviewed.

• Experience . Must have at least 3 years of experience .


• Role . AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer)


• Willing to work full-time . (40 hours per week).


• Available for an hour of assessment testing . Being deeply-vetted with a data enhanced resume and matched precisely by our machine learning algorithms substantially increases the probability of being hired quickly, at higher compensation levels over unvetted candidates.

• Not Applicable

• Full-time

• Information Technology and Engineering

• Software Development, IT System Custom Software Development, IT Services and IT Consulting

Referrals increase your chances of interviewing at GlobalPros by 2x

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.

• 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.

• 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;
• 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
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus

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.