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Senior AI/ML/Data Engineer
QAVION GROUPSenior AI/ML/Data Engineer building ML, NLP, LLM, and RAG solutions for QAVION’s consulting and technology boutique. Developing semantic search, GenAI services, and scalable data pipelines.
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 building retrieval and knowledge layers for semantic search using advanced technologies.
Highest-signal resume keywords
Machine Learning Model DevelopmentDeep Learning Model OptimizationNatural Language Processing (NLP)Data Pipeline DevelopmentTensorFlow or PyTorch Expertise
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 ProcessingData EngineeringPython ProgrammingTensorFlowPyTorchApache SparkSQLETL Tools
Tools & Technologies
Graph DatabasesVector DatabasesEmbeddingsRetrieval-Augmented Generation (RAG)Semantic Search
Industry Keywords
AI EngineeringData ScienceComputer ScienceMathematicsPhysics
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
- Building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
- Building, deploying, and operating ML and GenAI services
- Building and operating 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 building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases
- Very good knowledge of building and operating scalable data pipelines with Apache Spark or SQL and ETL tools
Benefits
Comp & perks- Base salary starting at €80,000, with profit-sharing of up to €70,000
- Flexible working hours and remote work
- 30 days of vacation
- IT equipment, such as an Apple MacBook
- Regular team events
- Corporate benefits, including company pension plans, company health insurance, shopping discounts, and employee discounts