Job: Senior Data Scientist / AI Engineer (m/f/d)

Über uns

IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.

Mein Arbeitgeber

• On-site project

Aufgaben

• Take end-to-end ownership of ML, AI, and agentic AI use cases: problem framing, data preparation, modeling, orchestration, evaluation, and production deployment
• Design agent architectures (planner–executor, multi-agent collaboration) with memory, reflection, and tool usage; ensure robustness, transparency and controllability
• Implement Model Context Protocol (MCP) for standardized and secure tool integrations and capability discovery
• Orchestrate LLMs and tools using agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, OpenAI Assistants), including function/tool calling, fallbacks, and guardrails
• Build and optimize RAG pipelines: ingestion, chunking, embeddings, vector stores, retrieval strategies, caching, and evaluation for precision/recall and latency
• Establish strong LLMOps/MLOps practices: experiment tracking, prompt/dataset versioning, CI/CD, model registry, monitoring, and incident response
• Drive reliability, safety, and compliance: prompt-injection defenses, content filtering, policy enforcement, red-teaming, and measurable quality gates
• Conduct rigorous offline/online evaluations: backtesting, time-series cross-validation, A/B testing, shadow deployments, canary releases, drift and impact monitoring
• Optimize performance and cost (latency, throughput, rate limits, batching, streaming, caching); maintain usage and cost dashboards
• Collaborate with product owners, engineers, and business stakeholders; deliver scalable solutions on Databricks (AWS) and integrate with banking systems
• Produce clear documentation, reusable templates, and playbooks; mentor teammates and contribute to community best practices

Profil

• Professional experience in developing and operating software solutions
• A versatile team player who enjoys collaboration but can also solve problems independently
• Hands-on experience with cloud computing (AWS, including AWS Linux and AWS Lambda)
• Experience with various database technologies and ideally Data Lake (AWS/S3)
• Experience working in a product-driven environment
• Strong programming skills, Python experience (ideally Django) and scripting RESTful APIs
• Demonstrated ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Basic knowledge of ETL tools
• Familiarity with agile methodologies
• Soft skills: Proactivity, Curiosity, Responsibility, Creativity and Confidence
• Structured working approach and strong problem-solving skills
• Banking experience advantageous

Wir bieten

• International client
• Remote work possible

Ihr Kontakt

Ansprechpartner
Florian Pracher

Referenznummer
850136/1

Kontakt aufnehmen
E-Mail: florian.pracher@hays.at

Anstellungsart
Freiberuflich für ein Projekt