Job
In this role, you will develop innovative AI and MLOps solutions, implement data pipelines, optimize ML models, and integrate RAG architectures along with security mechanisms.
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Job technologies
Your role in the team
- Design, development, and implementation of productive AI, machine learning, and GenAI solutions.
- Development and enhancement of ETL/ELT data pipelines for the integration, transformation, and delivery of relevant data.
- Definition and implementation of data formats, interfaces, data models, and transformation logic.
- Ensuring data quality, data consistency, and data availability.
- Development, training, validation, and optimization of machine learning models.
- Creation and preparation of suitable training, validation, and test datasets.
- Evaluation and optimization of models based on defined quality and performance metrics.
- Documentation and versioning of models, training processes, parameters, and data sets.
- Development and implementation of GenAI- and LLM-based applications.
- Development, optimization, and versioning of prompt logics and prompt workflows.
- Design and implementation of Retrieval-Augmented Generation (RAG) architectures and vector-based search methods.
- Implementation of appropriate guardrails and security mechanisms to control and safeguard the model behavior.
- Building automated ML/MLOps pipelines for training, testing, deployment, and operation.
- Containerization and deployment of AI applications in suitable runtime environments.
- Implementation of monitoring, logging, and alerting for models, data pipelines, and AI applications.
- Implementation of mechanisms for detecting Data Drift and Model Drift.
- Development and implementation of versioning, release, and rollback strategies.
- Technical implementation of specified target and solution architectures.
- Development and implementation of APIs and interfaces between AI components and existing applications.
- Integration of the developed AI solutions into existing IT, application, and data landscapes.
- Creation of a comprehensible technical documentation of the developed solutions.
Our expectations of you
Qualifications
- AWS Certified Solutions Architect - Associate, Azure Solutions Architect Expert (AZ-305), Google Professional Cloud Architect or comparable/higher-level certification is an advantage.
- ITIL Foundation v4 or an equivalent qualification is an advantage.
- German at least C1, English at least B1.
Experience
- At least 2 years of experience with end-to-end AI/ML projects, including data preparation, model training, evaluation, and deployment.
- At least 2 years of experience in Data Engineering, particularly ETL/ELT and data pipelines.
- At least 3 years of experience in software development with Python.
- At least 2 years of experience with AWS, Azure, and/or GCP.
- At least 2 years of experience with MLOps and deployment, including CI/CD and model monitoring.
- At least 1 year of experience with Generative AI / LLM applications, especially Prompt Engineering, RAG, and API integration.
- At least 3 years of experience with IT architecture and system integration.
- At least 2 years of experience with IT security / DevSecOps.
- Experience with compliance and AI governance is an advantage.
- Experience in stakeholder management and collaboration with departments and management.
- Experience with digitization projects in public administration is an advantage.
What we offer
- Project location: Bonn, Munich, Berlin, Frankfurt (10% on-site / 90% remote).
- Duration: 01/01/2027 - 12/31/2029.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
More about the recruiting agency
mindheads GmbH is an independent company specializing in IT and personnel services, offering a wide range of services including the recruitment and placement of IT experts and executives, as well as planning and implementing IT infrastructure and software solutions.
- Recruiting Agency
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
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