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Senior AI / ML / Data Engineer
QAVION GROUP. Design, development, and optimization of machine learning and deep learning models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and optimizing machine learning and deep learning models, with a strong focus on NLP solutions and scalable data pipelines. Proficient in utilizing advanced programming languages and frameworks to implement AI services and semantic search architectures.
Highest-signal resume keywords
Machine Learning Model DevelopmentDeep Learning Model OptimizationNatural Language Processing (NLP)Data Pipeline DevelopmentPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningNatural Language ProcessingTensorFlowPyTorchEmbeddingsVector DatabasesGraph DatabasesApache SparkSQL
Tools & Technologies
ETL ToolsGenAI ServicesSemantic Search
Industry Keywords
AI EngineeringData EngineeringRetrieval ArchitecturesKnowledge LayersScalable Systems
Tech Stack
Tools & technologiesApacheETLPythonPyTorchSparkSQLTensorflow
About the role
Key responsibilities & impact- Design, development, and optimization of machine learning and deep learning models
- Design, implementation, and optimization of NLP solutions, LLMs, and RAG architectures
- Development of retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
- Development, deployment, and operation of ML and GenAI services
- Development and operation of scalable data pipelines
Requirements
What you’ll need- At least 7 years of professional experience as an AI / ML / Data Engineer
- University degree in Computer Science, Mathematics, Physics, Data Science, or a comparable qualification
- Several years of experience with programming languages such as Python
- Strong expertise in developing and optimizing machine learning and deep learning models using TensorFlow or PyTorch
- Extensive experience in NLP as well as LLM and RAG architectures
- Professional experience in developing retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
- Very good knowledge of developing and operating scalable data pipelines using Apache Spark or SQL and ETL tools
Benefits
Comp & perks- Base salary starting at €80,000, plus profit sharing of up to €70,000
- Flexible working hours and remote work
- 30 days of annual leave
- IT equipment, including an Apple MacBook
- Regular team events
- Company pension scheme
- Employer-provided health insurance
- Shopping and employee discounts