Company description blend360is aworld class marketing, analytics, and technology company that delivers the best results for our clients. our primary focus is data sciences; leveraging data and applied mathematicstosolve our clients’business challenge...
Credicorp – data engineer la misión de credicorp es transformar la sociedad ofreciendo los mejores servicios financieros para ayudar a nuestros clientes a cumplir sus objetivos. como uno de los 10 principales grupos financieros de latinoamérica, cubr...
About design pickle design pickle is a global creative services company providing thousands of businesses with unlimited, high-quality design and illustration work at a flat rate. founded in scottsdale, arizona, design pickle was created to deliver reliable, affordable, and scalable creative content to any business. our core values be the spark let your fire and passion inspire someone else’s day. drive performance seek out new ways to improve performance, satisfaction, and impact for our customers. less is more rules supreme. give it to me straight lead with radical and professional candor in every situation. graciously accept when others do the same. move forward together and aligned. help when nobody's watching find opportunities to support each other and our clients beyond the day-to-day. lean into hard we thoughtfully select our challenges and tenaciously commit to conquering them. make your own pickles we are a collection of incredible individuals who challenge ourselves and each other to grow. change is celebrated as a sign of progress. the role overview : the graphic and presentation designer plays a central role in crafting compelling visual content for design pickle’s clients. this position offers an opportunity to leverage diverse aspects of the design process, encompassing ideation, creation, and delivery of high-quality visuals aligned with client requirements in slide deck formats. work hours: 9:00 am - 6:00 pm pst/est ( you can use this link to make the time conversion on your end!) what you’ll do develop and design engaging and professional slide decks tha...
Job summary join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we're always committed to results, in an inclusive, diverse, and high-performing culture. thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. contributes to the overall success of the development of data assets/data models serving international banking analytics. ensures all activities conducted are following governing regulations, internal policies, and procedures . qualifications - experience working as a junior data engineer or technical business analyst. - bachelor's degree in computer science or engineering, or related field or relevant experience. - cloud computing knowledge, data quality and governance is a plus. - knowledge with sql, git, docker, airflow, infrastructure-as-code, spark (nice to have). responsibilities - champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. - participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions. - collaborates in the coordination of the international banking data engineering community; supporting training and onboarding of new users, and support the implementation of data assets across international teams - hands on development supporting data integration, analytics and for on-prem and later cloud environments, to generate scalable data assets across scotiabank international markets - functions as a member of an agile...
Job summary as a senior manager data engineering (technology architect – big data), you will be responsible for designing and implementing scalable, high-performance data solutions that drive business insights and innovation. responsibilities - architect and implement large-scale, high-performance data solutions using big data technologies such as hadoop, spark, kafka, and snowflake. - define and drive the data engineering strategy, ensuring alignment with business objectives and technical best practices. - collaborate with stakeholders to understand data requirements and design scalable, efficient data pipelines. - optimize data processing and storage to improve performance, reliability, and cost efficiency. - lead and mentor data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. - ensure compliance with data governance, security, and regulatory requirements. - evaluate emerging technologies and industry trends to enhance data engineering capabilities. - partner with business and technology leaders to drive data-driven decision-making and digital transformation. skills - 10+ years of experience in data engineering, with a strong focus on big data technologies. - proven expertise in designing and implementing data architectures, data lakes, and data warehouses. - hands-on experience with hadoop, spark, kafka, snowflake, and other big data platforms. - strong knowledge of cloud-based data solutions, such as aws, gcp, or azure. - experience with real-time data processing, streaming analytics, and event-driven architectures. ...
Machine learning operations engineer agileengine is a leader in application development and ai/ml, with a people-first culture recognized by multiple best place to work awards. we are looking for a talented machine learning operations engineer to join us on our mission to drive innovation and growth. key responsibilities: - build and maintain scalable machine learning infrastructure on databricks, leveraging unity catalog and feature stores for model development and deployment. - design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of machine learning models in production. - develop calibration frameworks and establish versioning practices for transparency and reproducibility across the machine learning lifecycle. - design and optimize reinforcement learning orchestration pipelines, including contextual bandits, for real-time, low-latency environments. - create frameworks for training, retraining, and validating machine learning models to enable efficient experimentation and deployment. - implement best practices for ci/cd to streamline deployment and monitoring of machine learning models, integrating with databricks workflows and git systems. - collaborate closely with machine learning scientists to ship, deploy, and maintain models. requirements: - 3+ years of experience in mlops, ml engineering, data engineering, or related roles focusing on machine learning workflows in production. - 5+ years of experience with python. - proficiency with databricks (2-3 years), apache spark, mlflow, unity catalog, ...
Job description join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaborati...
At zimmer biomet, we believe in pushing the boundaries of innovation and driving our mission forward. as a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a zimmer biomet product or technology every 8 seconds. as a zimmer biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. to support our talent team, we focus on development opportunities, robust employee resource groups (ergs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. we are committed to creating an environment where every team member feels included, respected, empowered, and recognized. what you can expect the global supply chain reporting and analytics senior analyst is responsible for designing, developing, and deploying advanced machine learning models and data-driven solutions to enhance business reporting, generate actionable insights, and support strategic decision-making. this role sits at the intersection of data engineering, analytics, and software development, requiring both deep technical expertise and strong collaboration skills. how you'll create impact • design and implement scalable machine learning models and algorithms to solve complex business problems, such as predictive analytics, anomaly detection, and automated reporting. • develop and optimize data pipelines to ingest, preprocess, and transform large, complex datasets for analytics and ml model training. • build, test, and de...
Globo studio de colombia sas requiere analista de business analytics. perfil: profesionales en estadística, matemáticas, ingeniería de sistemas, ingeniería electrónica o carreras afines. con especialización en business intelligence, integración de datos,analítica o big data. certificaciones en big data (hadoop, spark, etc) o en ciencia de datos avanzados. conocimiento: conocimiento de modelos machine learming, modelos de optimización, probabilidad estadística y matemática aplicada. ciudad: medellín plazo máximo para aplicar: 9 de mayo 2018...
Job summary we are seeking an expert in machine learning/ai to join our team as a key contributor. this individual will be responsible for designing and developing innovative ai solutions that drive business growth. key responsibilities: - design, develop, and implement machine learning models from scratch or improve existing ones - create scalable ml/ai pipelines incorporating custom models or apis as part of processing - collaborate with cross-functional teams on deploying production models - develop and maintain experimentation roadmaps and pipelines - monitor, maintain, and optimize ml models in production - document ml models, processes, and pipelines clearly and comprehensively requirements: - deep understanding of standard ml algorithms and mathematical foundations - practical experience with classification and regression tasks, feature engineering - experience deploying and monitoring ml models in production environments - experience with nlp, llms, or recommendation engines - solid software engineering skills, including modular code development - proficiency in python and docker - experience with aws cloud services (e.g., sagemaker, ecs, s3, lambda) - english level - upper intermediate or higher - excellent communication and problem-solving skills preferred skills: - experience with retrieval-augmented generation (rag) - knowledge of taxonomies or ontologies - experience with spark/dask and great expectations...
Buscamos un especialista en datos que diseñe y construya infraestructuras escalables, seguras y eficientes para transformar datos en información valiosa. responsabilidades: - diseñar y desarrollar pipelines de datos desde su origen hasta los sistemas de análisis. - implementar soluciones etl/elt robustas para la integración y transformación de datos. - crear y mantener el datalake. - asegurar la calidad de los datos mediante procesos de limpieza, validación y monitoreo. - optimizar bases de datos y sistemas de almacenamiento para garantizar su escalabilidad y rendimiento. - implementar controles de acceso y seguridad en el manejo de datos sensibles. requisitos: - profesional en ingeniería de sistemas, informática o áreas relacionadas. - más de 4 años en roles similares enfocados en ingeniería de datos. - conocimientos en lenguajes de programación como python, java o scala. - experiencia con herramientas y plataformas de datos como apache spark, hadoop, kafka. - conocimientos en bases de datos sql (postgresql, mysql) y nosql (mongodb). - experiencia en servicios en la nube (aws, azure, google cloud) con énfasis en soluciones de datos....
Cargamos nuestro equipo con la misión de ser líderes en el desarrollo de soluciones de datos. descripción del trabajo - diseñar y construir arquitecturas de datos escalables y eficientes, asegurando su rendimiento y fiabilidad en tiempo real. - desarrollar pipelines de datos de alto rendimiento para procesos por lotes y aplicaciones en tiempo real, garantizando la integridad y seguridad de los datos almacenados y gestionados. en este rol, trabajarás estrechamente con el chief technology officer (cto) y otros miembros de nuestro equipo de tecnología para tomar decisiones estratégicas y diseñar soluciones innovadoras. no te pierdas esta oportunidad de unirte a nuestro equipo de expertos en data engineering y contribuir a la creación de soluciones que impulsan decisiones estratégicas en nuestra empresa. requisitos del cargo - titulación universitaria en ciencias de la computación o ingeniería de sistemas. - más de 5 años de experiencia en desarrollo de soluciones de datos y software. - dominio de tecnologías como python, java, sql, apache kafka, hadoop, spark y herramientas de orquestación como apache airflow. - experiencia con bases de datos nosql y sql, así como con plataformas de nube aws, gcp y azure. beneficios - oportunidades de desarrollo continuo y capacitación en las últimas tecnologías y tendencias en data engineering. - posibilidad de trabajar con proyectos innovadores y desafiantes que requieren habilidades avanzadas en análisis y diseño de sistemas de datos. - ambiente colaborativo y dinámico donde podrás interactuar con expertos en diferentes áreas de la ...
About us we are a leading provider of ai and ml solutions, leveraging cloud, data, and ai to empower businesses and accelerate their transformation. job description: as an experienced senior machine learning/ai engineer, you will be responsible for creating high-quality ml models from scratch or improving existing ones. you will develop sophisticated ml pipelines that include custom models or apis as part of the processing. in collaboration with engineering teams, data scientists, and product managers, you will deploy production models while ensuring seamless integration with other systems. key responsibilities: - create novel ml algorithms and models from available data. - develop robust ml pipelines using various machine learning techniques. - collaborate with cross-functional teams on deploying production-ready models. - maintain reproducible experimentation environments and implement efficient pipelines. - monitor and optimize ml models in production to ensure maximum performance. - write comprehensive documentation for ml models, processes, and pipelines. requirements: to succeed in this role, you should possess a solid understanding of standard ml algorithms and underlying mathematics. your experience in classification and regression tasks, feature engineering is essential. additionally, you should have experience deploying and monitoring ml models in production, as well as knowledge of nlp and recommendation engines. strong software engineering skills for modular code development and proficiency in cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glu...
Unlock value with ai solutions at our company, we empower businesses to accelerate their transformation through bespoke artificial intelligence solutions. we are a premier partner dedicated to leveraging cloud, data, and ai to reimagine how clients operate and compete. key responsibilities: - create machine learning models from scratch or improve existing ones. - develop ml/ai pipelines that include custom models or apis as part of the processing. - collaborate with engineering teams, data scientists, and product managers on deploying production models. - set up reproducible experimentation environments and maintain pipelines. - monitor and maintain ml models in production to ensure optimal performance. - write clear documentation for ml models, processes, and pipelines. requirements: - comfortable with standard ml algorithms and underlying mathematics. - experience with classification and regression tasks, feature engineering. - experience deploying and monitoring ml models in production. - experience with nlp, llms, or recommendation engines is a plus. - strong software engineering skills for modular code development. - experience with cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs). - excellent communication and problem-solving skills. nice to have: - experience with rag. - knowledge of taxonomies or ontologies. - experience with spark/dask, great expectations....
Join us and receive a $2,500 sign-on bonus! agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. we rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards. if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! what you will do - ml infrastructure support and development: build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores to support model development and deployment; - drift detection frameworks: design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production; - model calibration & versioning: develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle; - low-latency orchestration: design and optimize reinforcement learning (rl) orchestration pipelines, including contextual bandits, for real-time execution in low-latency environments; - automated training pipelines: create automated frameworks for training, retraining, and validating ml models, enabling efficient experimentation and deployment; - ci/cd for ml: implement ci/cd best practices to streamline the deployment and monitoring of ml models, integrating with databricks workflows and git-based version control systems; - collaboration: work closely w...
Agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and startups across 17+ industries. we are leaders in application development and ai/ml, with a people-first culture recognized by multiple best place to work awards. our team is looking for a talented ml ops engineer to join us on our mission to drive innovation and growth. key responsibilities: - build and maintain scalable ml infrastructure on databricks, leveraging unity catalog and feature stores for model development and deployment. - design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production. - develop calibration frameworks and establish versioning practices for transparency and reproducibility across the ml lifecycle. - design and optimize reinforcement learning orchestration pipelines, including contextual bandits, for real-time, low-latency environments. - create frameworks for training, retraining, and validating ml models to enable efficient experimentation and deployment. - implement best practices for ci/cd to streamline deployment and monitoring of ml models, integrating with databricks workflows and git systems. - collaborate closely with ml scientists to ship, deploy, and maintain models. requirements: - 3+ years of experience in mlops, ml engineering, data engineering, or related roles focusing on ml workflows in production. - 5+ years of experience with python. - proficiency with databricks (2-3 years), apache spark, mlflow, unity catalog, and feature stores. - familia...
About the project provectus is a premier aws partner at the forefront of artificial intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. with offices in multiple regions worldwide, provectus partners with clients globally and is dedicated to leveraging cloud, data, and ai to reimagine how clients operate and compete. key responsibilities: - create ml models from scratch or improve existing models. - develop ml/ai pipelines that include custom models or apis as part of the processing. - collaborate with engineering teams, data scientists, and product managers on deploying production models. - set up reproducible experimentation environments and maintain pipelines. - monitor and maintain ml models in production to ensure optimal performance. - write clear documentation for ml models, processes, and pipelines. requirements: - comfortable with standard ml algorithms and underlying mathematics. - experience with classification and regression tasks, feature engineering. - experience deploying and monitoring ml models in production. - experience with nlp, llms, or recommendation engines is a plus. - strong software engineering skills for modular code development. - experience with cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs). - excellent communication and problem-solving skills. nice to have: - experience with rag. - knowledge of taxonomies or ontologies. - experience with spark/dask, great expectations....
T-mapp bogota, d.c., capital district, colombia join or sign in to find your next job join to apply for the senior data software engineer role at t-mapp t-mapp bogota, d.c., capital district, colombia 1 day ago be among the first 25 applicants join to apply for the senior data software engineer role at t-mapp get ai-powered advice on this job and more exclusive features. - contractor. reconocida compañía de tecnología enfocada en soluciones de datos y análisis está en búsqueda de su senior data software engineer en latam que liderará el diseño, desarrollo y mantenimiento de sistemas de datos a gran escala, asegurando su rendimiento y fiabilidad. ¿por qué aplicar a esta posición? - desarrollo y crecimiento profesional en un equipo altamente calificado y colaborativo. - oportunidad de trabajar con tecnologías de vanguardia en la industria de big data y cloud computing. - impacto directo en la creación de soluciones de datos que impulsan decisiones estratégicas en una empresa de renombre. - posibilidad de asumir liderazgo técnico en proyectos innovadores y desafiantes. reportando directamente al chief technology officer (cto), sus principales responsabilidades serán: ¿qué harás en esta posición? - diseñar y construir arquitecturas de datos escalables y eficientes. - desarrollar y mantener pipelines de datos de alto rendimiento para procesos en tiempo real y por lotes. - garantizar la integridad y seguridad de los datos almacenados y gestionados. - para lograr cumplir a cabalidad con la posición, es muy importante que cuentes con estas características: ¿qué de...
At provectus, we empower businesses to unlock value and accelerate their transformation through bespoke artificial intelligence solutions. we are a premier aws partner with offices in north america, latam, and emea, dedicated to leveraging cloud, data, and ai to reimagine how clients operate and compete. key responsibilities: - create machine learning models from scratch or improve existing ones. - develop ml/ai pipelines that include custom models or apis as part of the processing. - collaborate with engineering teams, data scientists, and product managers on deploying production models. - set up reproducible experimentation environments and maintain pipelines. - monitor and maintain ml models in production to ensure optimal performance. - write clear documentation for ml models, processes, and pipelines. requirements: - comfortable with standard ml algorithms and underlying mathematics. - experience with classification and regression tasks, feature engineering. - experience deploying and monitoring ml models in production. - experience with nlp, llms, or recommendation engines is a plus. - strong software engineering skills for modular code development. - experience with cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs). - excellent communication and problem-solving skills. nice to have: - experience with rag. - knowledge of taxonomies or ontologies. - experience with spark/dask, great expectations....
Join epam systems as a senior data devops engineer and play a crucial part in defining and implementing the architecture of our projects. in this role, you will work closely with customers, peers, and vendors to resolve complex issues, develop strategic solutions, and maintain technical standards. about the role - lead the design, deployment, and management of data infrastructure in the cloud using major cloud platforms such as aws, azure, or gcp. - develop and maintain robust ci/cd pipelines for data infrastructure and applications. - automate and streamline data-related processes to ensure scalability, reliability, and efficiency. - ensure the security, availability, and optimal performance of data platforms. - provide technical leadership, guidance, and mentorship to engineering teams. - install, configure, and maintain data tools such as apache spark, apache kafka, elk stack, apache nifi, apache airflow, or similar tools in both on-premises and cloud environments. - monitor and troubleshoot data systems, proactively identifying and resolving performance, scalability, and reliability challenges. about us epam is a leading global provider of digital platform engineering and development services. we are committed to having a positive impact on our customers, our employees, and our communities. we embrace a dynamic and inclusive culture, collaborating with multi-national teams and contributing to innovative projects that deliver creative and cutting-edge solutions. requirements - minimum of 3 years of relevant professional experience. - proven expertise in designing a...
Buscamos a un senior data engineer que diseñe, construya y mantenga infraestructuras de datos escalables, seguras y eficientes para transformar datos en información útil. responsabilidades: - diseñar y desarrollar pipelines de datos desde su origen hasta los sistemas de análisis. - implementar soluciones etl/elt robustas para la integración y transformación de datos. - implementar y mantener el datalake. - asegurar la calidad de los datos mediante procesos de limpieza, validación y monitoreo. - optimizar bases de datos y sistemas de almacenamiento para garantizar su escalabilidad y rendimiento. - implementar controles de acceso y seguridad en el manejo de datos sensibles. requisitos: - profesional en ingeniería de sistemas, informática, ciencias de la computación o áreas relacionadas. - más de 4 años en roles similares enfocados en ingeniería de datos. - lenguajes de programación como python, java, o scala. - herramientas y plataformas de datos como apache spark, hadoop, kafka o similares. - bases de datos sql (postgresql, mysql) y nosql (mongodb). - servicios en la nube (aws, azure, google cloud) con énfasis en soluciones de datos....
About the project provectus is a premier aws partner at the forefront of artificial intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. with offices in north america, latam, and emea, provectus partners with clients worldwide and is dedicated to leveraging cloud, data, and ai to reimagine how clients operate and compete. responsibilities: - create ml models from scratch or improve existing models. - develop ml/ai pipelines that include custom models or apis as part of the processing. - collaborate with engineering teams, data scientists, and product managers on deploying production models. - set up reproducible experimentation environments and maintain pipelines. - monitor and maintain ml models in production to ensure optimal performance. - write clear documentation for ml models, processes, and pipelines. requirements: - comfortable with standard ml algorithms and underlying mathematics. - experience with classification and regression tasks, feature engineering. - experience deploying and monitoring ml models in production. - experience with nlp, llms, or recommendation engines is a plus. - strong software engineering skills for modular code development. - experience with cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs). - excellent communication and problem-solving skills. nice to have: - experience with rag. - knowledge of taxonomies or ontologies. - experience with spark/dask, great expectations. join us this ...
Provectus is a premier aws partner at the forefront of artificial intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. with offices in north america, latam, and emea, provectus partners with clients worldwide and is dedicated to leveraging cloud, data, and ai to reimagine operational and competitive strategies. responsibilities: - create ml models from scratch or improve existing models - develop ml/ai pipelines that include custom models or apis as part of processing - collaborate with engineering, data science, and product teams on deploying production models - develop and maintain experimentation roadmaps and pipelines - monitor, maintain, and optimize ml models in production - document ml models, processes, and pipelines clearly and comprehensively requirements: - strong understanding of standard ml algorithms and mathematical foundations - practical experience with classification and regression tasks, feature engineering - experience deploying and monitoring ml models in production environments - experience with nlp, llms, or recommendation engines - solid software engineering skills, including modular code development - proficiency in python and docker - experience with aws cloud services (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs) - english level - upper intermediate or higher - excellent communication and problem-solving skills preferred skills: - experience with retrieval-augmented generation (rag) - knowledge of taxonomies or ontologie...
Our purpose mastercard powers economies and empowers people in 200+ countries and territories worldwide. together with our customers, we’re helping build a sustainable economy where everyone can prosper. we support a wide range of digital payments choices, making transactions secure, simple, smart, and accessible. our technology, innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential. title and summary associate managing consultant, advisors – performance analytics our purpose we work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. our decency quotient, or dq, drives our culture and everything we do inside and outside of our company. we cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. we believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. consultant, advisors client services, data & services mastercard data & services provides cutting-edge data analysis and services to fortune 500s, governments, and nonprofits to make multimillion-dollar business decisions and grow their organizations. our adv...
Descripción de la oferta rol: - administrador bases de datos **requisitos**: - ingeniero de sistemas. - con experiência mínima de tres (3) años. - dominio modelamiento y gestión de bases de datos (sql server - oracle - postgresql). - conocimiento en spark, hadoop, hue, oozie y hive. condiciones laborales: - lugar de trabajo: bogotà - remoto. - tipo de contrato: a tèrmino indefinido. - salario: a convenir de acuerdo a la experiência. esta vacante es divulgada a través de ticjob.co postularme ahora somos una compañía con una trayectoria de más de 20 años en administración, manejo y mejora de los componentes de la plataforma tecnológica relacionada con la gestión de la información. proveemos a compañías de diferentes sectores económicos soluciones tecnológicas bajo el modelo de outsourcing y consultoría en el manejo de sus procesos, buscando integración y eficiencia.? expertos en gobierno de datos, brindamos servicios en administración, implementación, soporte, optimización e integración de bases de datos, servidores de aplicaciones, sistema operativo, inteligencia de negocios, migración de datos, integración soa y gestión de procesos de negocio. ver todo...
En bia energy buscamos talentos visionarios, innovadores y agentes del cambio que estén dispuestos a redefinir los límites y marcar la diferencia en todo lo que hacemos. si estás buscando más que un trabajo y estás ansioso por unirte a una comunidad que abraza la ambición de hacer las cosas de manera diferente ¡llegaste al lugar correcto! tu misión será diseñar, construir y mantener infraestructuras de datos escalables, seguras y eficientes que permitan a la organización gestionar y analizar grandes volúmenes de información de manera óptima. este rol es clave para transformar datos en información útil, facilitando la toma de decisiones estratégicas basadas en datos. tus responsabilidades serán: 1. diseñar, desarrollar y gestionar pipelines de datos desde su origen hasta los sistemas de análisis. 2. implementar soluciones etl/elt robustas para la integración y transformación de datos. 3. implementación y soporte del datalake. 4. asegurar la calidad de los datos mediante procesos de limpieza, validación y monitoreo. 5. optimizar bases de datos y sistemas de almacenamiento para garantizar su escalabilidad y rendimiento. 6. implementar controles de acceso y seguridad en el manejo de datos sensibles. 7. documentar procesos, estructuras y diseños de sistemas de datos para garantizar la continuidad operativa. lo que necesitarás: 1. profesional en ingeniería de sistemas, informática, ciencias de la computación o áreas relacionadas. 2. más de 4 años en roles similares enfocados en ingeniería de datos, preferiblemente en empresas de tecnología o sectores con grandes ...
About the project provectus is a premier aws partner at the forefront of artificial intelligence solutions, empowering businesses to unlock value and accelerate their transformation through bespoke applications, managed services, and advisory engagements. with offices in north america, latam, and emea, provectus partners with clients worldwide and is dedicated to leveraging cloud, data, and ai to reimagine how clients operate and compete. responsibilities: - create ml models from scratch or improve existing models. - develop ml/ai pipelines that include custom models or apis as part of the processing. - collaborate with engineering teams, data scientists, and product managers on deploying production models. - set up reproducible experimentation environments and maintain pipelines. - monitor and maintain ml models in production to ensure optimal performance. - write clear documentation for ml models, processes, and pipelines. requirements: - comfortable with standard ml algorithms and underlying mathematics. - experience with classification and regression tasks, feature engineering. - experience deploying and monitoring ml models in production. - experience with nlp, llms, or recommendation engines is a plus. - strong software engineering skills for modular code development. - experience with cloud platforms, preferably aws (e.g., sagemaker, ecs, emr/glue, s3, lambda, sqs). - excellent communication and problem-solving skills. nice to have: - experience with rag. - knowledge of taxonomies or ontologies. - experience with spark/dask, great expectations. join us! this...
Why valtech? we’re advisors, visionaries, creative and techies. we embrace all things digital. we talk to each other. we have fun. we love our clients. we’re looking ahead. we are global why valtech? we’re the experience innovation company. a trusted...
Ingeniero de datos. ey es una red global de servicios profesionales con más de 280,000 personas en 150 países y 700 oficinas en el mundo. asistimos a clientes en la creación de valor, el manejo de riesgos y la mejora de su desempeño a través de práct...
Cree una alerta de empleo y reciba nuevas ofertas que se adaptan a su perfil desde más de 2550 sitios web de empleo