Data Scientist / AI Engineer at Freelinker | Torre

Data Scientist / AI Engineer

You'll build next-generation Generative AI solutions, shaping enterprise AI architecture and driving business value.
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Full-time

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Shared by
Juan Fernando Domínguez
12 days ago

Requirements and responsibilities


Are you passionate about building cutting-edge Generative AI solutions? We are seeking a highly skilled Data Scientist / AI Engineer to join our growing AI team and contribute to the design, development, and deployment of next-generation AI applications.Key ResponsibilitiesDesign, build, and optimize Generative AI solutions, including: Retrieval-Augmented Generation (RAG) pipelines; Embedding, retrieval, and prompt orchestration frameworks; Document processing, information extraction, summarization, and content generation solutionsDevelop and support evaluation frameworks for GenAI applications: Validation datasets; Quality scoring methodologies; Human-in-the-loop review and feedback processesBuild reusable AI and data components: Standardized ingestion, retrieval, and evaluation frameworks; Reusable document processing and triage patterns; Reference implementations aligned with enterprise architecture standardsCollaborate closely with AI Leads, Data Engineers, Product Teams, and Delivery Managers to deliver business value through incremental releases.Create technical documentation, conduct walkthroughs, and support knowledge transfer activities.Ensure compliance with governance, security, and architectural standards.Required Skills & Experience5+ years of experience as a Data Scientist, Machine Learning Engineer, or AI EngineerStrong hands-on experience with: Generative AI and Large Language Models (LLMs); Retrieval-Augmented Generation (RAG); Information Extraction Pipelines; Prompt Engineering and AI OrchestrationHands-on experience with DatabricksStrong proficiency in Python for AI and data processing applicationsExperience working with structured and unstructured data sourcesKnowledge of AI/ML evaluation, monitoring, testing, and continuous improvement practicesExperience working in distributed or global delivery teamsExcellent communication and stakeholder management skillsPreferred QualificationsExperience with CI/CD pipelines and deployment of AI solutionsFamiliarity with AI observability, monitoring, logging, and quality control frameworksExposure to production-grade GenAI systems and enterprise AI architecturesWhy Join Us?Work on innovative AI and GenAI initiativesFully remote opportunityCollaborate with global AI experts and enterprise clientsBuild impactful solutions using the latest AI technologies
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