AI Optimization Engineer

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Datacor, Inc.

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201 - 500 Mitarbeiter

🏢 Unternehmen

☁️ SaaS

Enterprise • SaaS • Chemical

Datacor, Inc. ist ein führender Anbieter von fortschrittlicher Prozessfertigungssoftware und bietet integrierte ERP- und CRM-Lösungen zur Maximierung von Produktivität und Geschäftswachstum. Ihre Softwarelösungen richten sich an die Chemie-, Lebensmittel- und Getränke-, Körperpflege-, Industrie-, Lack- und Klebstoff- sowie Tiernahrungs- und Heimtiernährungsindustrie. Datacor liefert branchenspezifische, konfigurierbare Technologie, um die operative Sichtbarkeit und Kontrolle zu verbessern, und unterstützt Unternehmen bei der Verwaltung komplexer Preisgestaltung, Formeln und Spezifikationen unter Einhaltung gesetzlicher Vorschriften. Mit einem starken Ruf als Branchenspezialisten ist Datacor bekannt für seine robuste Unterstützung während der Softwareimplementierung und die laufende Zusammenarbeit mit Kunden, insbesondere bei Software für den Chemikalienvertrieb.

Beschreibung

• Define and lead the technical strategy for optimization use cases across Datacor's product portfolio. • Translate complex, real-world operational constraints into rigorous mathematical models. • Design, implement, and benchmark optimization algorithms including exact methods, metaheuristics (simulated annealing, tabu search, genetic algorithms), and commercial solvers (OR-Tools, Gurobi, CPLEX, or equivalent). • Make principled tradeoffs between solution quality, computational cost, and real-time responsiveness. • Collaborate closely with product, engineering, and design teams to ensure the solver becomes a solution that real users can understand, trust, and act on every day. • Drive end-to-end delivery of optimization solutions from prototype to production working across cross-functional teams. • Integrate optimization engines into production software via APIs and enterprise data pipelines. • Serve as the internal authority on optimization methods communicating algorithm design, performance, and tradeoffs clearly to both technical and business audiences. • Stay ahead of advances in OR, combinatorial optimization, and applied AI and bring new ideas and thinking that push our capabilities forward.

🎯 Anforderungen

• Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related quantitative field • 3+ years of hands-on industry experience, or a PhD in a related field • Proven track record of taking optimization solutions from problem definition to production with measurable business impact across domains such as supply chain, logistics, production scheduling, vehicle routing, or related fields • Proficiency with at least one major OR/optimization framework: Google OR-Tools, Gurobi, CPLEX, HiGHS, SCIP, or equivalent • Strong programming skills in Python; C++ or Java a plus • Hands-on experience with cloud platforms, particularly AWS, including deploying and scaling computational workloads • Familiarity with Large Language Models (LLMs) and generative AI • Exceptional communication skills able to translate complex algorithmic concepts into clear, business-relevant terms for non-technical stakeholders • Ability to model ambiguous, real-world constraints rigorously and defend and advocate for design decisions at all levels of the organization • Genuinely curious and bring that curiosity into every stage of the work • Strong product ownership mindset and outcomes-driven

🏖️ Vorteile

• Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. • Thoughtful problem-solving and authentic perspectives during interviews. • Candidates are requested not to use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise.