AI Data Solutions Engineer

AI Data Solutions EngineerLocation: RemoteStart date: ASAPglliProject type: Long-termRole OverviewWe are looking for an AI Data Solutions Engineer to work at the intersection of data science, data engineering, AI engineering, and operations. In this role, you will closely collaborate with the DaaS Delivery Operations team as well as cross-functional technical and business stakeholders, including international clients.You will be involved across the full lifecycle — from presales through delivery — contributing hands-on technical expertise to solve complex, multi-faceted problems and drive innovation in data and AI solutions.ResponsibilitiesDevelop technical specifications for data and AI-driven solutionsDesign evaluation workflows, quality standards, and measurement frameworksBuild and implement ML-assisted and AI-powered applications to improve data pipelinesIdentify and deliver technical innovations that unblock projects and improve delivery efficiencyCollaborate with internal teams and international clients throughout project executionWork with APIs and interpret technical documentationRequired Skills and Experience5+ years of experience in data science and/or data engineering rolesStrong proficiency in Python and SQLHands-on experience with data and visualization tools such as pandas, Plotly, Streamlit, DashFamiliarity with Large Language Models (LLMs) and deploying ML solutions into production environmentsExperience working with APIs and reading technical documentationStrong analytical, problem-solving, collaboration, and communication skillsLanguage RequirementsEnglish proficiency at C1 level or higher — required for daily communication with international clients and working with technical documentationSoft Skills (Highly Important)Excellent communication and presentation skillsProactive mindset and ownership of tasksAbility to work effectively with cross-functional teamsConfidence in client-facing interactionsWorking ConditionsStandard working hoursOccasional meetings aligned with US client time zones