Our Data Science and Modelling (DS&M) team drives innovation by transforming complex commodity data into actionable insights that impact global business decisions. We're a collaborative, goal-oriented group working in a dynamic environment where you'll leverage cutting-edge AI and automation technologies alongside talented data scientists, engineers, and domain experts who value continuous learning and creative problem-solving.Responsibilities and Impact:Design workflow automation solutions using enterprise automation platforms or similar tools to streamline operations for internal and external clientsCreate AI-powered agents to automate tasks and improve user efficiencyBuild and maintain retrieval-augmented generation (RAG) applications and LLM-powered solutions using vector databases and orchestration frameworks to enhance data retrieval and generation capabilitiesWork with business teams to analyze data, build pipelines, and identify automation opportunitiesDrive business decisions based on insights obtained from dataWhat We're Looking For:
Basic Required Qualifications:Bachelor's degree in Computer Science, Engineering, or related disciplineStrong experience in object-oriented programming, with the ability to design and develop modular, maintainable code, and a solid understanding of design patterns and SOLID principles, including advanced use of distributed version control systems for collaborative development5+ years of programming experience with 3+ years of Python; and a strong understanding of data pipelines, machine learning implementation, and clean code practices1+ years hands-on experience building and deploying LLM-based applications, including RAG architectures using orchestration frameworks, vector databases, and LLM operations/monitoring tools1+ years hands-on experience with workflow automation platforms or similar technologies2+ years' experience accessing and manipulating data with relational or No SQL databasesKey Soft Skills:Excellent written and spoken English communication skills with the ability to translate technical concepts for non-technical stakeholdersCollaborative team player who thrives in Agile environmentsAdaptability and willingness to learn and adopt new tools and technologiesAdditional Preferred Qualifications:
Key Qualifications:Recent work experience in an AI workflows role or experience with production LLM operations including prompt engineering, model evaluation, cost optimization, and managing LLM application lifecycleExperience working with commodity marketsExperience with enterprise automation platforms or automation certificationsExperience with deep learning frameworks and unified analytics platformsKnowledge of cloud services, big data technologies, large-scale data analytics tools, and API integrationSoft Skills:Entrepreneurial mindset in identifying automation opportunitiesAdaptable to rapidly changing technologies with a passion for new technologiesStrong stakeholder management and consulting orientationThe location:
Mexico or Colombia remote.
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