Mlops Engineer en Softserve

FULL_TIME

  Remoto (Chile) | Senior | Full time | Programación

43 postulaciones
Responde entre 11 y 25 días
Revisado por última vez hace 2 días
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WE ARE

SoftServe is a leading technology solutions company specializing in software products, application development, and services. Our mission is to be a valuable partner for our clients (from start-ups to large enterprises) – we measure our success by our client's success. We are a global team passionate about the development of advisory and consulting services. Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.

We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, and we are looking for a Machine Learning Engineer who is interested in operationalizing ML pipelines and bringing them to production. You will design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models.

YOU WANT TO WORK WITH

  • Communicating use cases, requirements, and expectations with stakeholders
  • Guiding Engineering and Data Science teams on ML systems production lifecycle
  • Data Science teams on model operationalization strategies
  • Product teams to deliver and operate ML systems
  • Implementing end-to-end production pipelines for ML solutions
  • Supporting and continuously enhancing ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
  • Setting up scalable monitoring systems for data pipelines and ML models
  • Operationalizing our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
  • Maintaining synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes and Machine Learning pipelines, and integrate them into existing business environments

YOU ARE

  • Interested in operationalizing ML pipelines and bringing them to production
  • Strongly competent in Machine Learning/Deep Learning models and model lifecycle; software engineering, and DevOps/MLOps principles
  • A holder of an MS degree in Computer Science, or a related field, with 3+ years of relevant experience
  • Skilled in Python (and traditional Python DS/ML stack) and ML solutions design patterns
  • Experienced in AI/ML and Data Engineering tools in AWS, GCP, or Azure
  • Hands-on with ML operationalization
  • Setting up CI/CD/CT pipelines for ML
  • Working with Kubeflow, and ML flow
  • Experienced with containers and container orchestration platforms (Kubernetes)
  • Advanced conversational English, able to express ideas clearly

Your extra power is

  • Designing and building feature stores
  • Hadoop ecosystem and Apache Spark
  • Workflow orchestration platforms such as Airflow
  • Message queues and streaming platforms
  • Java/Scala

TOGETHER WE WILL

  • Participate in international events
  • Get certifications in cutting-edge technologies
  • Have the possibility to work with the latest modern tools and technologies on different projects
  • Access strong educational and mentorship programs
  • Communicate with the world-leading companies from our logos portfolio
  • Work as a consultant on different projects with a flexible schedule

Biblioteca física Acceso a biblioteca de libros en papel dentro de la oficina.
Accesible Softserve ofrece espacios e infraestructura accesibles para personas con movilidad reducida.
Mascotas permitidas Las mascotas son bienvenidas en la oficina.
Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.
Seguro de vida Softserve paga un seguro de vida para sus empleados.
Estacionamiento de bicicletas Hay un lugar privado para estacionar las bicicletas.
Biblioteca digital Acceso a libros y/o suscripciones digitales.
Cobertura de salud Softserve paga o copaga cobertura de salud adicional a lo legal.
Seguro dental Softserve paga o copaga un seguro dental.
Computadora Softserve proporciona una computadora para tu trabajo.
Programas de fitness Softserve ofrece o subsidia programas de fitness y/o deporte.
Vestimenta informal Softserve no exige ningún código de vestimenta.
Vacaciones extra Softserve otorga vacaciones pagadas adicionales al mínimo legal.
Bebidas y snacks Softserve ofrece algunas bebidas y snacks de libre disposición en la oficina.
Día de cumpleaños libre El día de tu cumpleaños es canjeable por un día completo de vacaciones.

Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Chile para postular.

Acerca de Softserve

We are advisors, engineers, and designers solving business challenges with innovative technology solutions. #StandWithUkraine — Perfil completo de Softserve

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