Machine Learning Specialist (m/f/d)
Join a Shared Services Centre being set up in Lisbon!
Your new Company
Telenor is going through a major transformation where digitization and technology development are the keys to success. Telenor is looking for people who are motivated by developing services and digital products that make life easier, better, and safer.
You will join a
- location team dedicated to orchestrating workflows for an
- commerce site with
- service capabilities. Telenor is looking for someone with a positive and “get things done” attitude, good team spirit, and strong motivation towards technical challenges.
Your new Role
As a MLOps / LLMOps Specialist, you will be focusing on operationalizing AI systems, ensuring smooth deployment, monitoring, and maintenance of AI models and infrastructure. This role bridges the gap between development and production, emphasizing scalability, reliability, and efficiency.
As a MLOps / LLMOps Specialist, you will be responsible for:
- Designing and implementing robust MLOps pipelines for deploying and managing LLMs and other AI models;
- Setting up and maintaining infrastructure for model training,
- tuning, and serving; - Implementing monitoring systems for model performance and resource utilization;
- Ensuring scalability and reliability of AI systems in production;
- Implementing version control and experiment tracking for models and data;
- Developing automated testing and validation processes;
- Optimizing resource usage and costs for AI deployments;
- Implementing security best practices for AI systems.
What you will need to be successful
To be successful as a MLOps/LLMOps Specialist, you will need:
- Strong experience in Dev
Ops practices and tools (Git
Hub, Jenkins, Gitlab, Model Registry); - Expertise in Containerization (Docker) and Orchestration (Kubernetes);
- Proficiency in CI/CD pipelines for ML/AI models;
- Proficiency in Python and scripting languages;
- Experience with distributed training of large language models;
- Knowledge of monitoring and observability tools for ML systems;
- Knowledge of model compression techniques (quantization, pruning);
- Knowledge of data privacy regulations and compliance in AI systems;
- Understanding of LLM deployment and serving strategies;
- Understanding of Telco infrastructure and data systems (would be a plus);
- Familiarity with version control for both code and data/models;
- Familiarity with AI/ML security best practices;
- Experience with A/B testing frameworks for ML models;
- AWS specific: Expertise in AWS ECS, EKS, Sagemaker, Code Commit, Code Build, Code Deploy, Cloud
Watch; - GCP specific: Expertise in Google Kubernetes Engine, Cloud Monitoring, and Cloud Build;
- Experience from work in
- location teams; - Excellent interpersonal and communication skills - Fluency in English.
What the Company will offer you
Have the opportunity to join a
- functional team in an international company with a multicultural working environment!
Next Steps
If you are interested in this opportunity, please send us your updated CV. If you are looking for another type of professional challenge, please contact us to discuss other career opportunities, always in complete confidence.
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