22.09.2025 aktualisiert
100 % verfügbar
Generative AI , Machine Learning Engineer
Ludwigsfelde, Deutschland MCA
Skills
JavaKünstliche IntelligenzAmazon Web ServicesMicrosoft AzureBigqueryCloud ComputingContinuous IntegrationInformation EngineeringData GovernanceETLPythonKinesiologieMachine LearningTensorflowTransformerSoftwareentwicklungStreamingWorkflowsFeature-EngineeringAzure Data FactoryPytorchLarge Language ModelsMulti-Agent SystemsPrompt EngineeringSpringbootGenerative AIPysparkKubernetesAWS GlueApache KafkaMachine Learning OperationsTerraformLooker AnalyticsGPTDockerDatabricksMicroservices
- Core Skills Generative AI & Agentic Frameworks : LangChain, LangGraph, CrewAI, DSPy, AutoGen, Haystack, Multi-Agent Systems, Prompt Engineering, RAG, LoRA, RLHF, Agentspace, Vertex AI Platform, Vertex Studio, Vertex Agent Builder, Conversational Agents (Dialogflow), AutoML, Cloud Run Functions, Google Kubernetes Engine, Google ADK, Looker, Dataplex
- LLM Ecosystem : GPT-4, Claude, LLaMA, Gemma, Flan-T5, Hugging Face Transformers, PyTorch, TensorFlow, Pinecone, FAISS, Weaviate
- MLOps & Deployment : MLflow, Weights & Biases, DVC, Terraform, Docker, Kubernetes, Kubeflow, CI/CD, Model Monitoring, Drift Detection
- Cloud Platforms : Azure Databricks, Azure OpenAI & ML, AWS SageMaker & Kinesis, GCP Vertex AI, BigQuery, Dataflow, Dataproc
- Data Engineering : PySpark, Feature Engineering Pipelines, Scalable ETL (Azure Data Factory, GCP Dataflow, AWS Glue), Data Governance, Delta Lake, Databricks Workflows
- Software Engineering : Python, Java, Spring Boot, Microservices, Kafka
Sprachen
DeutschGrundkenntnisseEnglischgut
Projekthistorie
Senior AI Engineer - Banking & Finance, Germany Jan 2024 - till date
- Architected multi-agent GenAI systems using LangChain, CrewAI, and LangGraph, enabling autonomous workflows for document automation, fraud detection, and financial risk advisory.
- Designed RAG pipelines with Pinecone + FAISS for compliance & advisory use cases, improving context retrieval accuracy by >30%.
- Built multi-cloud deployments (Azure OpenAI, AWS SageMaker, GCP Vertex AI) ensuring 99.9% uptime with CI/CD, MLflow, and Kubernetes.
- Established AI governance frameworks (explainability, human-in-loop, compliance), ensuring regulatory adherence in AML and credit workflows.
- Automated document workflows, reducing manual effort by 40% and accelerating product adoption across business units.