:All stages in our recruitment process can be done remotely:Senior DevOps Engineer (MLOps)**Location**:Remote PolandPROJECT DESCRIPTIONfunctional team of enthusiastic innovators as a Machine Learning Engineer, working for various clients in the field of industrialized Artificial Intelligence.RESPONSIBILITIESRole MLOps Architect**Responsibilities**:Participate in requirements gathering, technical specification, and the design and development of complex operationalizing machine learning projects Contribute to architecture design, development of data or machine learning pipelines, and integration into enterprise systems Build and configure multi:tenant machine learning environments on:prem, cloud or hybrid Build, test and optimize Machine Learning models Interact with teams of engineers from multiple disciplinesMandatory skills:Docker, Kubernetes, or cloud equivalents Experience with Pipeline Tools, e.g. Kubeflow, Airflow, or cloud equivalents Experience with Model Repositories, e.g. mlflow, modelDB, or cloud equivalents Experience with loggingand monitoring, e.g. Prometheus, Grafana, or cloud equivalents Able to communicate and present internally and externally in a confident manner Highly motivated team player, proven ability to lead teamsNice:to:have skills:Experience with Data Versioning, e.g. dvc, pachyderm, or cloud equivalentsExperiencewith ML computing on cloud platforms:preferably Azure or AWS Experience with deployment automation, e.g. Helm, Ansible, Terraform Basic understanding, background in platform administration:Understanding of Linux, SSH keys setup, experience in Linux packages installationSKILLSMUSTBachelor or Masters degree required in computer science or equivalent qualification Hands:on experience in delivering and leading Data Science and machine learning projects Proven experience in all phases of a Big Data/Analytics project:Concept and design, development, implementation, change and operation Advanced experience in programming (Python, SQL, bash) Experience with Docker, Kubernetes/AKS/EKS/Openshift Experience with DevOps, CI/CD and MLOps automation Experience in cloud architecting and machine learning technologies:NICE TO HAVEStrong customer focus, assertiveness and precise method of operation Ability in understanding of architectural dependencies of technologies in the customers analytic environments Able to communicate and present internally and externally in a confident manner Highly motivated team player, proven ability to lead teams CAREER AND PROFESSIONAL DEVELOPMENT Competitive salary Luxoft Training Center Access to e:learning Library Individual development plans Long:term cooperation with possibility to gain experience in different projects and technologies A significant number of professional communi
