Job
- Level
- Senior
- Location
- Berlin, Munich, Bonn
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Freelancer
Job Summary
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.
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.
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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.
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What we offer
- Project location: Bonn, Munich, Berlin, Frankfurt (10% on-site / 90% remote).
- Duration: 01/01/2027 - 12/31/2029.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
More about the Recruiting Agency
mindheads GmbH
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.
Description
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior AI Engineer / GenAI & MLOps Engineer
- Location
- Berlin, Munich, Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
