SAGACIFY - AI/ML Engineer

h3What you'll do : /h3ulliUnderstand clients' business needs and translate them into clear, feasible end-to-end AI solutions /liliAct as a trusted point of contact for clients throughout the project, from scoping to delivery /liliRun discovery sessions and technical workshops with business and technical stakeholders /liliDesign and build AI solutions combining LLMs, vector databases, APIs, orchestration layers and user interfaces /liliDevelop agents and RAG pipelines connecting client data to LLMs for grounded, reliable answers /liliPerform prompt and context engineering to improve output quality and reduce hallucinations /liliBuild, train and evaluate classical ML models (classification, regression, forecasting, clustering) when they are the best fit for the problem /liliHandle the data side: gathering, cleaning, validating data quality and feature engineering /liliEvaluate solutions rigorously, using ML metrics, generative AI metrics and production monitoring (quality, drift, costs) /liliDeploy solutions to the cloud with attention to security, reliability and cost efficiency, including versioning and reproducibility of models and data /liliPresent and explain AI concepts, trade-offs and results to non-technical audiences /liliSupport sales in qualifying opportunities, estimating effort and writing proposals /liliContribute to demos, proofs of concept and internal knowledge sharing /li /ul