Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people.
Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people.
With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:DECSKILL TALENT: We believe that our people are key to our success.
Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients.
We collaborate with clients to drive innovation, ensuring project success and business growth.DECSKILL BOOST: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.DECSKILL CONNECT: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.We are looking for an MLOps Engineer!Responsabilities:Model monitoring, model drifting, data drifting.Automate model retraining and tunning.Comfortable Experiment tracking technologies (eg.
MLFlow).Realization in AWS + Airflow.Requirements:Experience with Batch Transform for large-scale batch inference.Deploying, training, and managing models in AWS SageMaker, including handling model artifacts and versioning.Knowledge of Docker and SageMaker's ability to run custom Docker containers for executing models.Knowledge of tracking and model management as MLOps best practices for integrating batch predictions into continuous delivery and integration workflowsFluent English, written and spoken.If you're interested in this job, please send your CV to ****** with reference "CA/MLOps".Thank You!