27.08.2024 aktualisiert
DJ
100 % verfügbar
10x Software Engineer / Solution Architect - AI / LLM / Machine Learning / financial / legal
Kassel, Deutschland
Weltweit
Staatlich geprüfter mathematisch-technischer Assistent für InformatikSkills
awsMicroservicesArtificial IntelligenceTradingInvestment BankingMarket Risk Data ScienceSQLPythonKünstliche IntelligenzLarge Language Models (LLMs)machine learningAzure MLLangchainmlflow
I'm a skilled software engineer with over 30 years of professional experience developing financial software systems (risk management, lending, investment banking/trading) for major banks and DAX companies. Focus on designing efficient and flexible back-end architectures.
In-depth knowledge and project experiences of Machine Learning, generative AI/LLM solutions, such as LLM-based contract analysis workflows to ensure regulatory compliance (present project). Proven track record of successfully delivering prototypes and complex solutions.
You are a talent recruiter or customer project manager / lead engineer / recruiter etc, currently searching for experienced IT Engineers for a challenging software project related to AI and/or machine learning.
- You have already specified your system's business requirements and want to design/develop a solution for it or a part of it.
OR
- You want to specifying an AI system's requirements for a business case and need them validated with an MVP.
My Skills Tags:
AI/ML, Algorithmic Trading, Ansible, Ant, Anthropic LLMs, Apache Kafka, Architecture of Distributed Systems, Artificial Intelligence (AI), AWS, AWS Cloud Computing, AWS CloudFormation, AWS SageMaker, Azure ML, BeautifulSoup, Bitbucket, Boto3 (AWS), Business Rules Management Systems, C, C++, CI/CD, Clean Architecture, CLIPS, CLIPS-Rules, Cloud, Cloud Computing, Cloud Migration, Confluence, Conducting Workshops, Containerization, Data Science, Data Warehouse, Database Design, Deep Learning, DevOps, Distributed Systems Architecture, Docker, DRools, EAI, ESB, Event-Driven Architecture, FastAPI/Uvicorn, Financial, Generative AI, GWT, Hyperopt, ILog JRules, ILOG, IoC - Terraform, IT Architecture, IT Integration, Java, Java Swing, Jenkins, Jira, jQuery, Jupyter Notebook, JupyterLab, Keras, Kubernetes, LangChain, Large Language Models, Large Language Models (LLM, open/closed-source GPT, Llama2), Machine Learning, Maven, Matplotlib, Microservices, Microservices Architecture, Migration Strategy, MLFlow, MLOps, Neural Networks, NumPy, OpenAI, OpenAPI/Swagger, Oracle 13c, Oracle Database, Pandas, Plotly, PL/SQL, Python, PyTorch, React, REST APIs, Retrieval Augmented Generation, Risk Management, Rogue Wave, Scikit-Learn, Scrum, SciPy, Securities, Securities Trading, sksurf (survival analysis, Kaplan Meier Estimator), Software Design, Software Development, Software Infrastructure, Software Solution Development, Spring Boot, Spring Framework, SQL, SQL Developer, Supervised Learning, Swagger/OpenAPI, Sybase, Sybase IQ, TensorFlow, Terraform, Test Driven Development, TIBCO BusinessWorks, TIBCO Rendezvous/Middleware, Time Series Analysis, Toad, Trading Systems, Unsupervised Learning, Virtualization (OS), Vitria BusinessWare, XML, XSLT
In-depth knowledge and project experiences of Machine Learning, generative AI/LLM solutions, such as LLM-based contract analysis workflows to ensure regulatory compliance (present project). Proven track record of successfully delivering prototypes and complex solutions.
You are a talent recruiter or customer project manager / lead engineer / recruiter etc, currently searching for experienced IT Engineers for a challenging software project related to AI and/or machine learning.
- You have already specified your system's business requirements and want to design/develop a solution for it or a part of it.
OR
- You want to specifying an AI system's requirements for a business case and need them validated with an MVP.
My Skills Tags:
AI/ML, Algorithmic Trading, Ansible, Ant, Anthropic LLMs, Apache Kafka, Architecture of Distributed Systems, Artificial Intelligence (AI), AWS, AWS Cloud Computing, AWS CloudFormation, AWS SageMaker, Azure ML, BeautifulSoup, Bitbucket, Boto3 (AWS), Business Rules Management Systems, C, C++, CI/CD, Clean Architecture, CLIPS, CLIPS-Rules, Cloud, Cloud Computing, Cloud Migration, Confluence, Conducting Workshops, Containerization, Data Science, Data Warehouse, Database Design, Deep Learning, DevOps, Distributed Systems Architecture, Docker, DRools, EAI, ESB, Event-Driven Architecture, FastAPI/Uvicorn, Financial, Generative AI, GWT, Hyperopt, ILog JRules, ILOG, IoC - Terraform, IT Architecture, IT Integration, Java, Java Swing, Jenkins, Jira, jQuery, Jupyter Notebook, JupyterLab, Keras, Kubernetes, LangChain, Large Language Models, Large Language Models (LLM, open/closed-source GPT, Llama2), Machine Learning, Maven, Matplotlib, Microservices, Microservices Architecture, Migration Strategy, MLFlow, MLOps, Neural Networks, NumPy, OpenAI, OpenAPI/Swagger, Oracle 13c, Oracle Database, Pandas, Plotly, PL/SQL, Python, PyTorch, React, REST APIs, Retrieval Augmented Generation, Risk Management, Rogue Wave, Scikit-Learn, Scrum, SciPy, Securities, Securities Trading, sksurf (survival analysis, Kaplan Meier Estimator), Software Design, Software Development, Software Infrastructure, Software Solution Development, Spring Boot, Spring Framework, SQL, SQL Developer, Supervised Learning, Swagger/OpenAPI, Sybase, Sybase IQ, TensorFlow, Terraform, Test Driven Development, TIBCO BusinessWorks, TIBCO Rendezvous/Middleware, Time Series Analysis, Toad, Trading Systems, Unsupervised Learning, Virtualization (OS), Vitria BusinessWare, XML, XSLT
Sprachen
ChinesischMutterspracheDeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Weiterbildung in Cloud-Computing, Künstlicher Intelligenz (KI), Machine Learning und Data Science.
Entwicklung eines Credit-Exposure-Managementsystems mit Zuständigkeit als leitender Entwickler für Backend-Services, die das gesamte System mit Fachlogik und Persistenz unterstützen.
Die Entwicklung eines hochperformanten Rich-Client Trading-Frontends für das Handelssystem EUREX.