Senior AI Engineer

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🕒 vor 10 Monaten

🏄 California, New York, +1 weitere Bundesländer – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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DataRobot

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2012

💼 Beratung

🏥 Gesundheitswesen

🏭 Fertigung

Consulting • Healthcare • Manufacturing

DataRobot ist ein branchenführender Anbieter von KI-Anwendungen und Plattformen, die dafür entwickelt wurden, sich in zentrale Geschäftsprozesse zu integrieren. Ihre Lösungen ermöglichen es Teams, generative und prädiktive KI in großem Umfang zu entwickeln, bereitzustellen und zu verwalten. Die KI-Anwendungen von DataRobot sind darauf zugeschnitten, Innovation und Einfluss in verschiedenen Sektoren voranzutreiben, darunter Energie, Finanzdienstleistungen, Gesundheitswesen, Fertigung und der öffentliche Sektor. Das Unternehmen konzentriert sich darauf, den geschäftlichen Nutzen zu maximieren und gleichzeitig Risiken mit integrierten Governance-Funktionen und kollaborativen Tools für KI-Teams zu minimieren.

Beschreibung

• Partner with Customers: Collaborate closely with customer stakeholders to understand business goals, identify high-impact use cases, and define technical requirements for AI solutions • Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools, including agentic AI, generative AI (chatbots, RAG), and predictive ML models • Develop agents using frameworks such as Langgraph, CrewAI, Llama Index and deploy at scale • Serve as a Technical Expert: Act as subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives • Deliver Value: Ensure solutions are robust, scalable, and directly contribute to customers' business objectives • Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives

🎯 Anforderungen

• Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role • Proven track record of deploying AI solutions or applications into production • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy) • Practical experience with Generative AI technologies, including Large Language Models (LLMs) and vector databases • Solid understanding of the end-to-end agentic AI lifecycle and experience with frameworks like Langgraph or CrewAI • Experience building custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems • Experience developing predictive ML models for forecasting, churn prediction, fraud detection • Experience developing and deploying applications and building REST APIs (e.g., Flask, FastAPI) • Proficiency with containerization using Docker and experience with Kubernetes (K8s) • Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints • Hands-on experience with a major cloud platform (AWS, Azure, or GCP) • Familiarity with the DataRobot AI Platform is a strong plus • Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance • Experience in a client-facing or consulting role with exceptional verbal and written communication skills • Comfortable leading technical discussions and presenting to diverse audiences • Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field

🏖️ Vorteile

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) • Competitive pay and benefits