RepRisk AG
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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Building AI models using RAG and tool calling for a European B2B financial platform startup. Extensive experience with LangGraph, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers required. Stock options program, Work & Swim program.
Requirements
- Seasoned Python professionalism
- Passion for AI/ML
- Extensive experience with LangGraph, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
- ML model deployment expertise in production
- Strong software engineering skills
- Solid grasp of data structures, algorithms, best practices
- Cloud savviness
- Comfort with AWS Bedrock, GCP Vertex, Azure, Docker, Kubernetes
- Skilled problem-solving
- Thriving in fast-paced environment
- Contribution of fresh ideas
- Collaboration with diverse teams
- Desire for organizational growth
- Effective communication
- English fluency (B2+ level)
- Knowledge of LLMs and prompt engineering (nice-to-have)
- Experience with real-time data processing (Kafka, Flink, Spark) (nice-to-have)
- Previous work in fintech or financial services (nice-to-have)
- Contribution to open-source AI/ML projects (nice-to-have)
- Clear communication and transparent updates
- Discretion and judgment
- Clear priority setting and follow-through
- Investment in personal growth and support for others' growth
Tasks
- Build AI models using RAG and tool calling.
- Deploy AI models for various product features.
- Choose appropriate signals for model quality.
- Translate signals into meaningful improvements.
- Collaborate with engineers to deploy AI features.
- Stay updated on the latest AI research.
- Propose innovative AI applications for Finom.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face Transformers
- AWS Bedrock
- GCP Vertex
- Azure
- Docker
- Kubernetes
- Kafka
- Flink
- Spark
Benefits
Learning & Development
- Continuous personal and professional development
Flexible Working
- Flexible travel and remote/hybrid work
Competitive Pay
- Stock options program
Other Benefits
- Work & Swim program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Finom and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Building AI models using RAG and tool calling for a European B2B financial platform startup. Extensive experience with LangGraph, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers required. Stock options program, Work & Swim program.
Requirements
- Seasoned Python professionalism
- Passion for AI/ML
- Extensive experience with LangGraph, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
- ML model deployment expertise in production
- Strong software engineering skills
- Solid grasp of data structures, algorithms, best practices
- Cloud savviness
- Comfort with AWS Bedrock, GCP Vertex, Azure, Docker, Kubernetes
- Skilled problem-solving
- Thriving in fast-paced environment
- Contribution of fresh ideas
- Collaboration with diverse teams
- Desire for organizational growth
- Effective communication
- English fluency (B2+ level)
- Knowledge of LLMs and prompt engineering (nice-to-have)
- Experience with real-time data processing (Kafka, Flink, Spark) (nice-to-have)
- Previous work in fintech or financial services (nice-to-have)
- Contribution to open-source AI/ML projects (nice-to-have)
- Clear communication and transparent updates
- Discretion and judgment
- Clear priority setting and follow-through
- Investment in personal growth and support for others' growth
Tasks
- Build AI models using RAG and tool calling.
- Deploy AI models for various product features.
- Choose appropriate signals for model quality.
- Translate signals into meaningful improvements.
- Collaborate with engineers to deploy AI features.
- Stay updated on the latest AI research.
- Propose innovative AI applications for Finom.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangGraph
- PyTorch
- TensorFlow
- scikit-learn
- Hugging Face Transformers
- AWS Bedrock
- GCP Vertex
- Azure
- Docker
- Kubernetes
- Kafka
- Flink
- Spark
Benefits
Learning & Development
- Continuous personal and professional development
Flexible Working
- Flexible travel and remote/hybrid work
Competitive Pay
- Stock options program
Other Benefits
- Work & Swim program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Finom and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Finom
Industry
FinancialServices
Description
The company develops an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing.
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