Senior DevOps Engineer (MLOps)
[online recruitment]
[online recruitment]
Location: Remote Poland
Reference number: VR-66099
Project Description:
DXC is a leading independent IT service provider. In the field of AI and Machine Learning, DXC is recognized as a strong partner for the whole machine learning lifecycle. DXC's MLOps offering provides first class services that help clients to operationalize and to maintain critical machine learning models and applications. Projects in the field of MLOps cover three big domains: Consulting, platform development and operationalization of machine learning models at scale. The candidate will join a cross-functional team of enthusiastic innovators as a Machine Learning Engineer, working for various clients in the field of industrialized Artificial Intelligence.
Responsibilities
Role 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 disciplines
Mandatory skills:
- Bachelor or master's degree in computer science, natural sciences, mathematics, or equivalent qualification
- At least one year of professional experience in a similar position or as software developer
- Experience in Python and ML
- Experience with at least one CI/CD tool, e.g. Jenkins, Github actions, or cloud equivalents
- Experience in application containerization and orchestration tools - 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 logging and 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 teams
Nice-to-have skills:
- Experience with Data Versioning, e.g. dvc, pachyderm, or cloud equivalents
- Experience with 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 installation
Skills
- Bachelor 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 & 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 - Azure/AWS/GCP
- Experience in designing data management solution architectures
- Experience in designing machine learning solution architectures
- Experience in applying ArchiMate and TOGAF
- Experience with data versioning, pipeline tools and model repositories, e.g. Kubeflow, dvc, mlflow or cloud equivalents
Our offer
Career and Professional Development
- International projects for clients all over the world
- Competitive salary
- Individual development plan
- Managerial Targeted Training programs
- BRIDGE Mentoring Program
- Luxoft Training Center
- Language Classes
- Self-learning online library
- Global Relocation Program
- Internal Mobility (a chance to gain experience in varied projects and technologies)
- Professional communities for knowledge-sharing (Agile, Tech, Business)
- Group Life Insurance
- Travel Insurance
- Private Healthcare (dental care, unlimited consultations of specialist physicians)
- Medical costs reimbursement for employees
- Benefit Program (Cafeteria and Multisport Card)
- LuxGood Program (a wide range of health and well-being initiatives)
- After-hours groups (sport, trips, board games, cultural activities)
- Company and Team events
- BeLux - discount offers program (banking, car leasing, other)
- Convenient locations in modern offices
Career and Professional Development
- International projects for clients all over the world
- Competitive salary
- Individual development plan
- Managerial Targeted Training programs
- BRIDGE Mentoring Program
- Luxoft Training Center
- Language Classes
- Self-learning online library
- Global Relocation Program
- Internal Mobility (a chance to gain experience in varied projects and technologies)
- Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
- Group Life Insurance
- Travel Insurance
- Private Healthcare (dental care, unlimited consultations of specialist physicians)
- Medical costs reimbursement for employees
- Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
- LuxGood Program (a wide range of health and well-being initiatives)
- After-hours groups (sport, trips, board games, cultural activities)
- Company and Team events
- BeLux - discount offers program (banking, car leasing, other)
- Convenient locations in modern offices
Please send your CV with consent for processing your personal data for recruitment purposes using the below button
APPLY