Unternehmensbeschreibung
Do you want to not only experience but actively shape the unique DNA of Microsoft? Then Devoteam M Cloud is the right place for you!
Our core business is cloud-based enterprise customer projects, where we drive the most modern Microsoft technologies.
The building blocks that distinguish us:
- 2,100 Microsoft certifications completed in 2022
- 1,000 Microsoft experts in EMEA
- 600 customers
- 25 years of industry experience
- 18 Advanced Specializations, including "Azure Virtual Desktop" and "Modernization of Web Applications to Microsoft Azure"
- 6 Solution Partner Designations
- 3 MVPs
Imagine being part of one of the most successful IT companies in Europe, leveraging the latest technologies with its customers to elevate them to the next level. Apply now at Devoteam M Cloud!
#Creative Tech For Better Change
Your Benefits: In addition to our revolutionary New Way of Work culture, you'll enjoy:
- Modern offices in prime locations in Munich, Frankfurt, and Stuttgart
- Flexible remote or hybrid working with the option to customize your working hours and locations to your individual needs
- Our Devoteam Academy offers a wide range of certified trainings and language courses
- International development opportunities to boost your career at Devoteam
- Gaming lounge for your creative break between meetings and calls
- Get-together parties and team events for regular exchange and fun with your colleagues
- Employee referral bonuses for attracting new employees
- Modern IT equipment - choose the product that suits you best from a variety of options
- Corporate benefits with a large selection of numerous offers for almost every area
- "Jobrad" (company bike) offer with attractive tax advantages for you
- Company pension scheme, direct insurance, and capital-forming benefits are available to you as additional services
- Integration Day including mentoring programs for your perfect start at Devoteam
Stellenbeschreibung
- AI Solution Development: Design and implement end-to-end AI solutions on Azure, including developing machine learning models (e.g., predictive algorithms, classification, anomaly detection) and integrating them into cloud applications. Write code (primarily in Python) to build and train models, leveraging Azure Machine Learning, Azure Databricks, or custom frameworks as needed.
- Build and deploy intelligent applications using Azure AI Foundry, leveraging prompt orchestration, grounding with Azure AI Search, and agent orchestration features for enterprise-scale GenAI use cases. Independently implement GenAI workflows using Foundry.
- Generative AI & LLMs: Play a key role in developing Generative AI solutions for clients. Experiment with and implement large language model (LLM) based applications using Azure OpenAI Service and frameworks like LangChain. Build chatbots or summarization services, ensuring prompt engineering and fine-tuning are done securely.
- Azure AI Services Integration: Utilize Azure Cognitive Services (vision, speech, language) and Azure AI services to accelerate solution development. Integrate Azure Cognitive Search for semantic search or use Form Recognizer in document pipelines, combining these with custom ML where needed.
- MLOps and Deployment: Deploy and operationalize ML models by containerizing models or using Azure ML endpoints. Set up CI/CD pipelines (Azure DevOps or GitHub Actions) for automated training and deployment, and monitor model performance for drift. Ensure solutions are scalable and reliable.
- Data Pipeline Collaboration: Work with Data Engineers to ensure data readiness for ML models. Contribute to data pipeline design, feature engineering, and real-time data ingestion for high-quality training and inference.
- Cross-Functional Collaboration: Collaborate with Solution Architects and other specialists to translate architectural designs into implementation. Participate in code reviews, knowledge sharing, and troubleshooting.
- Client Support & Iteration: Support clients in adopting AI solutions, prepare documentation, demo functionalities, and iterate based on feedback. Ensure responsible AI practices and data security standards are maintained.
Qualifikationen
- Experience: 5+ years in AI/ML engineering or data science, with full lifecycle project experience from data prep to deployment.
- Language Skills: Fluent in German and English
- Azure & Data Skills: Strong experience with Azure AI/Data ecosystem, Azure Machine Learning, Azure Databricks, Data Factory, Data Lake, Synapse. Experience with Azure Cognitive Services and Azure OpenAI is a plus.
- ML & Programming: Proficiency in Python, ML libraries (pandas, scikit-learn, TensorFlow, PyTorch). Experience with NLP or vision techniques is beneficial. Familiarity with Git.
- MLOps Knowledge: Practical experience with MLOps, CI/CD, model versioning, Docker, Kubernetes (Azure Kubernetes Service).
- Generative AI & LLMs: Knowledge of LLMs, fine-tuning, prompt engineering, frameworks like LangChain, Hugging Face. Experience with vector databases and RAG is a plus.
- Problem-Solving & Communication: Strong troubleshooting and communication skills, ability to mentor colleagues.
- Certifications: Azure AI Engineer (AI-102) preferred, additional certs like DP-100 or Databricks Generative AI Engineer are beneficial. Support for certification pursuit is provided.
- Education: Bachelor’s in Computer Science, Engineering, or related field; Master’s is a plus.
Zusätzliche Informationen
You will be part of a collaborative, remote-friendly team that values continuous learning and delivering impact through modern cloud-native data solutions.