AI & Data Engineer | Contract
hace 2 semanas
Job Location
– Zurich, Switzerland
Experience (Years)
: 5+ years
Pay Rate
– TBN
Start Date
- ASAP
Contract
– 12 months (extension option)
We're looking for an experienced
AI Engineer
to join our client and help shape intelligent, automated solutions across the business. You'll work at the intersection of
AI innovation
,
data engineering
, and
cloud technologies
, delivering practical, production-ready systems that make a measurable impact.
You'll collaborate in a fast-paced
Agile
environment, working with a broad range of modern tools— such as
Microsoft Azure
,
Python
,
Power Platform
,
Databricks MLFlow
,
Delta Lake
,
AI Foundry
,
Copilot Studio
,
n8n
, and
Agentic AI frameworks
—to transform ideas into scalable AI capabilities.
AI & Automation Development
- Translate business needs into technical designs and implement intelligent AI-driven solutions.
- Build, deploy, and optimize scalable AI models and agents that support automation and decision-making.
- Conduct testing and validation to ensure model reliability, incorporating feedback loops to refine accuracy.
- Work closely with data scientists, analysts, and process experts to operationalize AI use cases.
Data Engineering & Management
- Collect, clean, and manage complex datasets to ensure consistency and data integrity.
- Design and maintain
ETL
pipelines for ingestion, transformation, and storage in
Azure Cloud
environments. - Contribute to the design of data models and structures supporting AI and analytics applications.
Deployment & Integration
- Build and maintain reliable
cloud-based infrastructures
for large-scale AI deployments. - Integrate AI models into business applications using APIs or microservices.
- Apply
MLOps/DevOps
principles to streamline deployment, versioning, and monitoring. - Manage authentication and authorization using tools like
Azure AD
,
Okta
, and
OAuth
.
Responsible AI & Governance
- Implement responsible AI principles to ensure fairness, transparency, and minimal bias.
- Oversee compliance with internal and regulatory governance frameworks across all AI lifecycle stages.
Continuous Improvement
- Evaluate and improve model performance and data quality.
- Explore and adopt emerging AI trends, frameworks, and tools to enhance existing capabilities.
What You'll Bring
- 5+ years of experience as an
AI Engineer
,
Machine Learning Engineer
, or
Data Scientist
. - Degree in
Computer Science
,
Data Science
,
Information Systems
, or a similar discipline. - Proven expertise with
LLMs
,
AI agents
,
Databricks
,
Azure Data Factory
,
Logic Apps
,
Python
, and related data technologies. - Familiarity with
LangChain
,
Retrieval-Augmented Generation (RAG)
,
MCP
,
Swagger UI
, and modern data platforms. - Strong understanding of
data processing
,
model evaluation
, and
cloud deployment
practices. - Experience with
SQL
and
NoSQL
databases, as well as web technologies such as
Streamlit
,
, and
HTML
. - Knowledge of visualization tools like
Power BI
and version control systems like
Git
or
GitLab
. - Hands-on experience developing microservices with
Docker
,
Kubernetes
,
FastAPI
, or
Spring Boot
. - Exposure to
Microsoft Power Platform
(Power Apps, Power Automate) is a plus. - Excellent problem-solving, communication, and teamwork skills with the ability to explain complex ideas clearly.
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