AI/ML Engineer & MLOps(m/w/x)

Description

You will bridge the gap between innovation and production by building scalable AI solutions and MLOps pipelines, ensuring machine learning models are reliable, secure, and impactful.

Requirements

• •Degree in Computer Science, Data Science, Engineering, Mathematics, or equivalent
• •3+ years in ML engineering, MLOps, software/data engineering or related roles
• •Hands‑on CI/CD and DevOps for ML workloads
• •Experience with ML frameworks and serving patterns
• •Strong Python software engineering and cloud deployment patterns
• •Familiarity with feature stores, experiment tracking, and orchestration tools
• •Strong communication and stakeholder management skills
• •Ownership mindset and reliability under pressure
• •Ability to influence without formal authority
• •Telecommunications experience is a plus

Tasks

• •Design and build production-grade ML and GenAI solutions
• •Develop robust training and inference pipelines
• •Co-design solution architectures with Data Scientists
• •Industrialize prototypes with automated tests and secure packaging
• •Build standardized CI/CD and LLMOps workflows
• •Manage model promotion and versioning across environments
• •Maintain monitoring, drift detection, and retraining mechanisms
• •Operate experimentation tracking and feature store patterns
• •Run evaluation harnesses for model safety and performance
• •Produce compliant model documentation and audit artifacts
• •Implement Responsible AI guardrails and privacy controls
• •Define SLOs and manage incident response runbooks
• •Develop reusable libraries and reference implementations
• •Coach engineering teams on MLOps best practices

Tools & Technologies

Benefits