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Tech Stack
Tools & technologiesCloudDockerNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Understand clients' business needs and translate them into clear, feasible end-to-end AI solutions
- Act as a trusted point of contact for clients from scoping to delivery
- Run discovery sessions and technical workshops with business and technical stakeholders
- Design and build AI solutions combining LLMs, vector databases, APIs, orchestration layers and user interfaces
- Develop agents and RAG pipelines connecting client data to LLMs
- Perform prompt and context engineering to improve output quality and reduce hallucinations
- Build, train and evaluate classical ML models including classification, regression, forecasting and clustering
- Gather, clean and validate data and perform feature engineering
- Evaluate solutions using ML metrics, generative AI metrics and production monitoring for quality, drift and costs
- Deploy solutions to the cloud with attention to security, reliability and cost efficiency
- Maintain versioning and reproducibility of models and data
- Present and explain AI concepts, trade-offs and results to non-technical audiences
- Support sales by qualifying opportunities, estimating effort and writing proposals
- Contribute to demos, proofs of concept and internal knowledge sharing
- Report to the Head of ML at Sagacify and collaborate with Sagacify and Craftzing delivery and sales teams
Requirements
What you’ll need- Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or a related field
- 2 to 5 years of experience in AI/ML engineering or related fields
- Proficiency in Python and software development best practices
- Strong machine learning fundamentals: supervised and unsupervised learning, feature engineering, model validation and statistics
- Hands-on experience with Pandas, NumPy, Scikit-learn and PyTorch or TensorFlow
- Understanding of Transformers, generation parameters, RAG and fine-tuning approaches
- Hands-on experience with OpenAI API, Hugging Face, LangChain/LangGraph, FastAPI and Docker
- Comfortable working with SQL databases
- Ability to work as a consultant and understand business problems
- Comfortable presenting to clients and explaining complex topics simply
- Strong problem-solving ability and pragmatic, solution-oriented mindset
- Team spirit and cross-functional collaboration
- Autonomous, curious and quick to learn new tools
- Fluent communication in English and French or Dutch
- Experience with a major cloud provider is a bonus
- Familiarity with MLOps practices is a bonus
- Experience in NLP, Computer Vision or time series is a bonus
- Experience with XGBoost or LightGBM is a bonus
- Previous client-facing experience is a bonus
- Experience contributing to proposals, pre-sales or client workshops is a bonus
- Hands-on experience with AI coding agents and AI-assisted development environments is a bonus
Benefits
Comp & perks- Flexible working
- Trust and space to do your best work
- Human-sized environment with real team spirit
- Room to take ownership
- Continuous learning and skill development
- Opportunity to fast-track customers' AI journey across various industries