Sagacify

Machine Learning Engineer

• 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

AI/ML Engineer