Mlops
hace 1 semana
The ML / MLOps Engineering team is responsible for the successful implementation and iteration of AI/ML solutions including providing architectural guidance and development support. Some of our focus areas include: developing reusable frameworks, code optimization and refactoring, scaling up ML solutions, and foreseeing and testing for common issues that may arise in production. We are looking for a highly capable Senior ML or MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects. Activities: Build, maintain, and document machine learning frameworks (python packages) used across multiple projects. · Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers. · Develop reusable feature stores for rules-based and AI/ML models. · Implement monitoring capabilities for model performance and effectiveness in production. · Automate CI/CD testing and deployments incorporating MLOps best practices. Skills: -Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field. · 5+ years of overall experience in Data Analytics. · 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. · Sharp critical thinking skills and ability to learn and question complex processes and solutions. · Experience building scalable machine learning systems and data-driven products working with cross-functional teams. · Experience creating python packages · Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. · Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). · Proficiency in SQL and Azure · Good communication skills and the ability to understand and synthesize requirements across multiple project domains.
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Mlops Engineer
hace 1 semana
México Derevo A tiempo completo¡¡Buscamos tu talento!! ✋ **MLOps Engineer Mid** En Derevo buscamos empoderar a las empresas y a las personas para liberar el valor de los datos en las organizaciones, a través de la implementación de procesos y plataformas de analítica con un enfoque que cubre el ciclo completo que necesitan llevar a cabo para lograrlo. **Tu misión**: Como...
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MLOps Engineer
hace 1 semana
México - Jalisco - Guadalajara - Tlaquepaque, , Xideral A tiempo completoMLOps Engineer – Hybrid (3 days On-site) in GuadalajaraWe are looking for an experienced MLOps Engineer to join us, supporting the design, deployment, and operation of scalable Machine Learning solutions across cloud and distributed environments. This role focuses on building robust ML pipelines, deploying models into production, and enabling end-to-end ML...
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MLOps / ML Engineer
hace 2 semanas
Ciudad de México, Ciudad de México Workana A tiempo completoDesde Workana estamos acompañando la búsqueda de un MLOps / Machine Learning Engineer Senior para una empresa fintech en plena expansión regional.El rol está orientado a perfiles con fuerte foco en operación, escalabilidad y gobernanza de modelos de Machine Learning en producción, trabajando en entornos críticos de negocio como riesgo, fraude y...
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Sr Mlops Engineer
hace 3 semanas
Ciudad de México Globant A tiempo completoWe are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.Right now, we are looking for a **Sr MLOps Engineer **to join our Cloud Studio at Globant! This Studio combines the best cloud...
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Remote LATAM Senior Data/ML Engineer
hace 1 semana
Estado de México Medium A tiempo completoA leading telecommunications company based in New Jersey is seeking a skilled Data/ML Engineer to join their BI team. This full-time remote opportunity is ideal for candidates from LATAM. Responsibilities include designing and maintaining data pipelines, leveraging MLOps, and employing advanced analytics to optimize data-driven insights. The ideal candidate...
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Data Scientist Sr
hace 2 semanas
México axity A tiempo completoRequerimientos: Herramientas Obligatorias: - Lenguajes: Python, R, SQL - Frameworks: Apache Spark, PySpark, TensorFlow - Bibliotecas/Plataformas: Pandas, NumPy, Jupyter Notebook, Jupyter Lab - Modelos/Estadística: Machine Learning, Modelos Predictivos y AI Herramientas Deseables: - GCP BigQuery, Databricks, MLFlow (MLOps) - Visualización: Power BI,...
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SaaS Cloud Capacity Engineer
hace 2 semanas
Ciudad de México, Ciudad de México Oracle A tiempo completoDescriptionWhat You'll DoCapacity Engineering – Act as a strategic capacity partner, immersing in the end-to-end architecture and performance of SaaS production services. Ensure mission-critical workloads—including emerging agentic AI and MLOps pipelines—are forecasted, scaled, and optimized for OCI cloud capacity at enterprise scale.Cost Engineering...
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Machine Learning Engineer
hace 2 semanas
México Chubb A tiempo completo**About the Role**As an MLOps Engineer, you’ll play a key role in operationalizing machine learning solutions that improve underwriting, claims, risk modeling, and customer experience. You will work closely with data scientists, data engineers, and actuarial teams to ensure ML models are production-ready, scalable, and resilient.You’ll be responsible for...
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Gerente Sr de Datos Integración y Despliegue
hace 2 semanas
Ciudad de México, Ciudad de México Coppel Enterprise A tiempo completoDescriptionAcerca de: Diseñar y dirigir la estrategia integral de MLOps, AIOps, Ingeniería de Datos e Infraestructura Cloud para el CENIC. Liderar a un equipo de expertos para diseñar, construir y operar un ecosistema tecnológico robusto, escalable y seguro. El objetivo principal es industrializar los activos analíticos y acelerar la entrega de valor de...
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Cientifico de Datos New
hace 2 semanas
México Neoris A tiempo completoNEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiência como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de...