20 beste Stellen als machine learning engineer in zürich zh – aktuell auf Personalsuche

Business Analyst / Requirements Engineer
Sika —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Projektmanagement
Direkt bewerben
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Forschungserfahrung
3 Std.
Vision & Perception Engineer - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Software Engineer Internship
Gravis Robotics —Zürich, ZH
- Überstunden
- Homeoffice
- Informatik
- Englisch
- Master
AI Research Engineer - RL Manipulation
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Python
Direkt bewerben
Software Engineer II, Frontend Core, Verifications
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Java
7 Tage
Senior Data Engineer
Apple —Zürich, ZH
- Systemdesign
- Englisch
- SQL
5 Std.
Data Engineering Intern
Jua —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- SQL
- AWS
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Zürich, ZH
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
Backend Software Engineer, Python
Cradle —Zürich, ZH
- Überstunden
- Hybrides Arbeiten
- Python
Lead - Technology Product Manager
On AG —Zürich, ZH
- Erfahrung in der IT
- Führungserfahrung
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Doktorat
- Englisch
- Master
13 Tage
Scientist - Reliability Engineering (f/m/d)
Hitachi —Baden, AG
- 100%
- Homeoffice
- Doktorat
- Englisch
- Forschungserfahrung
1 Tag
Staff Data Scientist - Supply Chain Optimisation
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Applied AI Architect, Industries
Anthropic —Zürich, ZH
- Englisch
- Master
- Bachelor
- Eltern-/Erziehungsurlaub
Embedded Intelligence Solutions Engineer - China Market
NEWTWEN —Zürich, ZH
- Ab CHF 50’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Datenanalyse
- Englisch
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
Direkt bewerben
Software Engineer III, AI/ML, Google Cloud, Automotive
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
13 Tage
Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers)
Scandit —Zürich, ZH
- Doktorat
- Forschungserfahrung
- Master
Member of Technical Staff (Backend & Infrastructure)
Jua —Zürich, ZH
- CHF 125’000 - CHF 160’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Microsoft Excel
- Datenbanken
- AWS
Junior CRM Engineer
ELCA Informatique SA —Zürich, ZH
- 100%
- Englisch
- Datenbanken
- JavaScript
- Pendlerbeitrag
- Homeoffice-Möglichkeit

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Business Analyst / Requirements Engineer

Sika -
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Management-Erfahrung
Englisch
Projektmanagement
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

Company Description

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.

Job Description

Join our Central Data & Analytics Team in Zürich as a Business Analyst / Requirements Engineer with project management responsibilities and help translate business needs into impactful data and analytics solutions.

In this role, you will work closely with stakeholders to identify data-driven opportunities, define requirements, and support the delivery of analytics initiatives.

Your Responsibilities

Analyze and translate business needs into requirements for data and analytics solutions, including the creation of conceptual and logical data models.
Facilitate workshops and stakeholder discussions to gather requirements and define data-driven use cases, ensuring clear communication and stakeholder alignment.
Lead the planning and delivery of data and analytics initiatives, ensuring alignment between business objectives and technical implementation.
Coordinate closely with data engineers, data scientists, and analysts to ensure successful implementation of requirements.
Lead and manage internal data and analytics projects, ensuring alignment of objectives, timelines, and stakeholders.
Organize and facilitate agile ceremonies such as sprint planning, reviews, and backlog refinement, while tracking progress and managing risks and dependencies.
Contribute to improving delivery processes, requirements engineering practices, and collaboration across the Data & Analytics ecosystem.

Qualifications

Your Expertise – Our Strength

A degree in Computer Science, Information Systems, Data Science, Business Administration, or equivalent professional experience.
Several years of proven experience in business analysis, requirements engineering, or project leadership within data, analytics, or digital transformation initiatives.
Strong understanding of data and analytics ecosystems (data platforms, BI tools, data pipelines, reporting) and experience translating business needs and business processes into structured technical requirements.
Solid project management and stakeholder management capabilities with experience coordinating cross-functional initiatives.
An analytical mindset with strong problem-solving abilities and the ability to work effectively with both technical and business teams.
Excellent communication and facilitation skills with a proven ability to engage stakeholders at all organizational levels.
Experience working in Agile or hybrid project delivery environments.
Fluency in English; proficiency in additional languages is a plus.

Additional Information

This role offers opportunities for growth into advanced data engineering positions and exposure to modern data technologies, analytics, and machine learning projects. Data Engineers are encouraged to pursue ongoing training and participate in Sika’s evolving global analytics platform.

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Direkt bewerben

Erweiterte Suche

machine learning engineer Jobs in zürich zh

Business Analyst / Requirements Engineer

Software Engineer III, AI/ML, Gemini Integration/Customisation

Vision & Perception Engineer - Humanoid (human)

Software Engineer Internship

AI Research Engineer - RL Manipulation

Software Engineer II, Frontend Core, Verifications

Senior Data Engineer

Data Engineering Intern

AI Research Engineer (Model Compression & Quantization)

Backend Software Engineer, Python

Lead - Technology Product Manager

Data Scientist - QuantumBlack, AI by McKinsey

Scientist - Reliability Engineering (f/m/d)

Staff Data Scientist - Supply Chain Optimisation

Applied AI Architect, Industries

Embedded Intelligence Solutions Engineer - China Market

Software Engineer III, AI/ML, Google Cloud, Automotive

Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers)

Member of Technical Staff (Backend & Infrastructure)

Junior CRM Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in zürich zh erhalten

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