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AI/ML Engineer & MLOps 80-100% – Zürich | JobRevolt

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Sunrise is building the future of AI and agile technologies through ADAO (AI, Data and Agentic Enablement Office). In this role you will design, build, deploy and operate production-grade ML and GenAI solutions that deliver measurable business value, ensuring end-to-end lifecycle excellence from experimentation through automated deployment, monitoring, and continuous improvement.

Aufgaben

Develop and industrialize ML/GenAI solutions: translate business roadmaps into solution designs with robust training/inference pipelines and production services
Co-design solution architectures with Data Scientists and Domain Pods (batch/real-time, APIs, RAG patterns)
Industrialize prototypes: automated tests, secure packaging, deployment/rollback, performance and cost tuning
Build and maintain standardized CI/CD/CT templates for model/prompt packaging, validation gates, and dev→test→prod promotion
Operate model registry, versioning, and automated retraining triggers aligned to governance and change windows
Provide reproducible experimentation, manage feature store patterns, validation, and promote reusable datasets/features across Pods
Implement full observability for models and services: define SLOs/SLIs, implement monitoring/alerting for quality, drift, latency, availability and cost
Maintain runbooks, participate in on-call and incident postmortems, drive corrective actions
Produce model cards and compliance artefacts (data sources, limitations, privacy/bias controls) for audits
Implement Responsible AI/GenAI guardrails: grounding, HITL approvals, audit logs, risk reviews with governance teams
Build reusable ML/GenAI components, libraries and reference implementations; coach teams on MLOps/LLMOps best practices

Profil

Bachelor's/Master's in Computer Science, Data Science, Engineering, Mathematics, or equivalent practical experience
3+ years in ML engineering, MLOps, software/data engineering or related roles with proven end-to-end production of ML/GenAI solutions
Hands-on CI/CD and DevOps for ML workloads (testing, version control, release management), IaC (Terraform/Pulumi) and GitOps
Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow) and serving patterns (REST/gRPC, batch, streaming), MLOps tooling (MLflow, Kubeflow, Azure ML, Vertex AI, SageMaker)
Strong software engineering (testing, APIs), containers (Docker) and cloud deployment patterns; GenAI/RAG experience a plus
Familiarity with feature stores, experiment tracking, data quality testing and orchestration tools (Airflow/Dagster/Prefect)
Strong communication and stakeholder management skills, ownership mindset, reliability under pressure
Ability to influence without formal authority, champion standards across teams, continuously adapt to evolving AI/ML technologies; telecommunications experience a plus

Rahmenbedingungen

80-100% Pensum

AI/ML Engineer & MLOps 80-100%

Über den Job

Über den Job

Aufgaben

Profil

Rahmenbedingungen

Skills

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