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Data & Analytics Jobs in Glattbrugg, Switzerland (Now Hiring) — 7 open

Sunrise logoSunrise

AI/ML Engineer & MLOps 80-100%

Glattbrugg, Zurich, Switzerland · Hybrid

Mid level$1.3B raised

At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every p…

Skills: ML Engineering, MLOps, LLMOps, Python, CI/CD

Capgemini logoCapgemini

Strategy & Transformation Senior Consultant - Business Reinvention

Tianjin, Tianjin, China · Hybrid

Senior$5.7B raised

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and t…

Skills: Strategy Consulting, Business Transformation, Business Model Innovation, Operating Model Design, Stakeholder Management

Capgemini logoCapgemini

Strategy & Transformation Consultant - Business Reinvention

Tianjin, Tianjin, China · Hybrid

Entry level$5.7B raised

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and t…

Skills: Market Analysis, Business Case Development, Business Model Innovation, Operating Model Design, Strategic Planning

HomeToGo logoHomeToGo

Interhome - Founders' Associate [German-speaking] (m/f/d)

Glattbrugg, Zurich, Switzerland · Hybrid

Mid levelVisa sponsorship$177M raised

Explore a new world of possibilities As a key part of the HomeToGo Group, Interhome is united by a vision to be the world’s number one for holiday home rentals. We combine decades of industry expertise with a modern, "ch…

Skills: Strategic Planning, M&A Transactions, Cross-functional Leadership, AI Workflow Implementation, Data-driven Decision Making

Interhome logoInterhome

Data Analyst - Web & Digital Platforms (w/d/m)

Glattbrugg, Zurich, Switzerland · Hybrid

Mid level

Deine Aufgaben About us Interhome Group (part of HomeToGo Group) makes vacation rentals easy for guests, owners, and partners. With 60+ years of experience and thousands of holiday homes across Europe, our Data & Analyti…

Skills: Web Analytics, GA4, Google Tag Manager, SQL, Python

Capgemini logoCapgemini

Strategy and Transformation Managing Consultant - Enterprise Data and Analytics

Tianjin, Tianjin, China · Hybrid

Senior$5.7B raised

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge …

Skills: AI Strategy, Enterprise Data & Analytics, Operating Model Design, AI Governance, Management Consulting

Capgemini logoCapgemini

Strategy and Transformation Consultant - Life Science

Tianjin, Tianjin, China · Hybrid

Mid level$5.7B raised

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and …

Skills: Strategy Consulting, Requirements Engineering, Business Process Re-engineering, Data Strategy, Python

Sunrise logo

AI/ML Engineer & MLOps 80-100%

Sunrise

Glattbrugg, Zurich, Switzerland • Hybrid

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Mid level

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  • Full-time
  • bachelor degree, postgraduate degree
  • Posted 6d ago
  • ~40 hrs/week

Responsibilities

Design, build, and operate production-grade ML and GenAI solutions, including RAG components, ensuring end-to-end lifecycle excellence. Develop standardized MLOps/LLMOps pipelines and provide reusable engineering components to support cross-functional business pods.

Requirements

Requires a degree in Computer Science or a related field and 3+ years of experience in ML engineering or MLOps. Proficiency in Python, cloud deployment patterns, and ML frameworks is essential, with a strong focus on CI/CD and DevOps for ML workloads.

Full job description

At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every perspective makes us stronger. Our passion spurs us on to try new things and grow continuously. Sound like you? Then join our success story.

At ADAO (AI, Data and Agentic Enablement Office), we bring people together to unlock the future of Sunrise through data, analytics, AI, and agentic technologies. We think big, move with purpose, and turn ideas into real impact for our customers and teams. ADAO is where innovation meets trust: we build strong data foundations, scale safe and reliable AI capabilities, and empower business units through a hub‑and‑spoke operating model to deliver meaningful results across the company. Within this model, you will work as part of the Agentic Enablement and Prompt Engineering & Conversation Design team, where the central hub provides standards, platforms, architecture, and best practices, while cross‑functional, outcome‑driven Pods are embedded in and led by the business. You will act as an engineering expert, partnering closely with the business to deliver on their priorities and outcomes.

In this role you will design, build, deploy and operate production grade ML and GenAI solutions, including RAG components where applicable, that deliver measurable business value for Sunrise, ensuring end-to-end lifecycle excellence from experimentation to automated deployment, monitoring, risk controls and continuous improvement in alignment with ADAO standards and governance.

You will be part of the central AI/ML Engineering & MLOps chapter within the ADAO Hub, supporting embedded Domain Pods through reusable platform components, engineering standards and hands-on delivery.

YOUR CHALLENGE:

  • Develop & industrialize ML/GenAI solutions: Translate business roadmaps into solution designs while implementing robust training/inference pipelines and production services that meet all non‑functional requirements
    • Co-design solution architectures with Data Scientists and Domain Pods (batch/real-time, APIs, RAG patterns where relevant)
    • Industrialize prototypes: automated tests, secure packaging, deployment/rollback, and performance/cost tuning
  • Own & evolve MLOps/LLMOps pipelines: Build standardized CI/CD workflows, manage model promotion through dev→test→prod, and maintain monitoring and drift/retraining mechanisms
    • Maintain standard CI/CD/CT templates incl. model/prompt packaging, validation gates, and dev→test→prod promotion
    • Operate model registry/versioning and automated retraining triggers aligned to ADAO governance and CIO/IT change windows
  • Operate experimentation & feature management: Provide reproducible experimentation, manage feature store patterns and validation, and promote reusable datasets/features across Pods
    • Provide experiment tracking, dataset/feature versioning and feature-store patterns (offline/online parity)
    • Run evaluation harnesses for ML & GenAI (regression, A/B tests, safety & multilingual checks) and share reusable assets
  • Model documentation, governance & risk: Produce compliant model documentation, implement required governance/security/privacy controls, and support GenAI safety and auditability measures
    • Produce model cards and compliance artefacts (data sources, limitations, privacy/bias controls) and evidence for audits
    • Implement Responsible AI / GenAI guardrails: grounding, HITL approvals, audit logs, and risk reviews with governance teams
  • Observability, reliability & incident response: Implement full observability for models and services, maintain runbooks and alerting, participate in incident resolution, and drive reliability improvements
    • Define SLOs/SLIs and implement monitoring/alerting for quality, drift, latency, availability and cost
    • Maintain runbooks, participate in on-call/incident postmortems, and drive corrective actions
  • Enablement & reusable components: Provide reusable ML/GenAI components, coach teams on MLOps/LLMOps best practices and ensure consistent engineering standards across Hub and Pods
    • Build reusable libraries and reference implementations (RAG connectors, evaluation utilities, deployment scaffolding)
    • Coach Pod engineers through reviews, pairing and clinics; contribute to ADAO AI Academy materials
  • Key deliverables (illustrative):
    • Standard ML/LLMOps pipeline template + reference architectures (batch/real-time/RAG)
    • Model registry & artefact versioning (models, prompts, datasets, features)
    • Monitoring dashboards + drift detection + SLO reporting
    • GenAI evaluation test suite (regression, safety, multilingual) and acceptance thresholds
    • Model documentation pack and operational runbooks (audit-ready)

YOUR SKILLS:

  • 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), plus IaC (Terraform/Pulumi) and GitOps
  • Experience with ML frameworks (scikit‑learn, PyTorch, TensorFlow) and serving patterns (REST/gRPC, batch, streaming), and MLOps tooling (MLflow, Kubeflow, Azure ML, Vertex AI, SageMaker)
  • Strong Python software engineering (testing, APIs), containers (Docker) and cloud deployment patterns; GenAI/RAG experience is a plus
  • Familiarity with feature stores, experiment tracking, data quality testing and orchestration tools (Airflow/Dagster/Prefect), working in cross-functional Hub and Pod setups
  • Strong communication and stakeholder management skills, ownership mindset and reliability under pressure with a structured engineering approach
  • Ability to influence without formal authority, champion standards across Hub and Pods, and continuously adapt to evolving AI/ML technologies; telecommunications experience is a plus

At Sunrise, you’ll be working in a dynamic and multinational environment where every voice is heard, perspectives are shared and values are lived. Diversity isn’t just a program for us, it’s part of our DNA. By celebrating our differences, we achieve great things together.

Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value.

Ready to rise to the challenge? Then join the team and actively shape our future!

#ChallengersWanted

Information for agencies: Application dossiers sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.

#LI-SJ1

Related keywords

AIMachine LearningMLOpsLLMOpsGenAIRAGPythonDockerTerraformPulumiGitOpsScikit-learnPyTorchTensorFlowMLflowKubeflow

About Sunrise

LinkedInVisit site

DREAM BIG. DO BIG.

Industry
Telecommunications
Company size
1,001-5,000 employees
Founded
2021
Headquarters
Glattpark (Opfikon), Zurich
LinkedIn followers
48,265
Total funding
$1.3B

Sunrise is Switzerland’s leading challenger in the telecommunications market and is listed on the SIX Swiss Exchange (SUNN). With the most comprehensive fixed network access and a world-class mobile network offering the highest gigabit coverage in Switzerland, Sunrise stands out as a premium and scaled provider. Built on best-in-class, future-ready networks, Sunrise delivers high-quality mobile, landline, broadband and TV services to residential customers, while empowering business customers with 360° communication and integrated ICT solutions across connectivity, security and IoT - all from a single source to support their digital transformation. Sunrise offers a dynamic and international working environment where every voice matters, perspectives are valued and diverse viewpoints are respected. We believe that creating equal opportunities for a diverse workforce is essential to our success. Around 2,850 employees (FTEs) from approximately 80 nationalities contribute to Sunrise’s success through their expertise, innovative thinking and strong commitment, reflecting the diversity of our customers.

Offices: Thurgauerstrasse 101b, Glattpark (Opfikon), Zurich 8152, CH

TelecommunicationsMobile Voice and DataLandline InternetIPTVICT SolutionsSmart WorkingInnovation5GSMEFiber Optic Technology
View all jobs at Sunrise

Frequently asked questions

How many Data & Analytics jobs are open in Glattbrugg, Switzerland right now?

There are currently 7 open data & analytics positions in Glattbrugg, Switzerland listed on Clera. New openings are added daily as companies post roles.

Which companies are hiring for Data & Analytics roles in Glattbrugg, Switzerland?

Companies currently hiring include Capgemini, HomeToGo, Interhome, Sunrise, among others. Browse the listings above to see every active employer.

Are there remote or hybrid Data & Analytics jobs in Glattbrugg, Switzerland?

Yes — 7 of the 7 open data & analytics positions offer remote or hybrid work (0 remote, 7 hybrid).

How do I apply for Data & Analytics jobs in Glattbrugg, Switzerland?

Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

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