高级AI工程师 - 专业服务 - KSA
Senior AI Engineer - Professional Services - KSA
职位描述：
DataRobot 提供能够最大化影响并最小化业务风险的 AI。我们的平台和应用集成到核心业务流程中，使团队能够大规模开发、交付和管理 AI。DataRobot 让实践者能够交付预测性和生成式 AI，并使领导者能够保护其 AI 资产。全球各地的组织都依赖 DataRobot 的 AI 来满足他们的业务需求——现在和未来。
作为我们专业服务团队的 AI 工程师，你将处于 AI 革命的最前沿，直接与我们最重要的客户合作。你将成为值得信赖的顾问和实干型建设者，将复杂的业务挑战转化为具有实际业务价值的尖端 AI 解决方案。
这是一个独特的机会，可以设计、构建和部署各种应用——从强大的预测模型到复杂的生成式 AI 代理和聊天机器人。如果你热衷于解决现实问题，并希望使用最新的 AI 技术，那么这个职位适合你。
主要职责：
- 与客户合作：与客户利益相关者密切协作，了解他们的业务目标，识别高影响力的应用场景，并定义 AI 解决方案的技术需求。
- 构建与部署 AI 解决方案：使用 DataRobot 平台和开源工具设计、开发和部署端到端 AI 解决方案。这包括：
- 代理式 AI：在 DataRobot 上开发和部署代理，利用常见的框架如 Langgraph、CrewAI、Llama Index
- 生成式 AI：构建定制的 GenAI 聊天机器人、检索增强生成（RAG）系统。
- 预测式 AI：为诸如预测、流失预测和欺诈检测等用例开发和部署经典机器学习模型。
- 担任技术专家：作为 DataRobot 平台和现代 AI/ML 开发方面的专家，指导客户在 MLOps、模型治理和扩展 AI 项目方面的最佳实践。
- 实现价值：确保你构建的解决方案稳健、可扩展，并直接对客户的业务目标做出贡献。
- 沟通与协作：向技术与非技术受众清晰地传达复杂的技术概念和项目成果，从数据科学家到高管。
知识、技能和能力：
AI 与机器学习专业知识：
- 熟练掌握 Python 和常用的数据科学库（例如 pandas、scikit-learn、NumPy、et...
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Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.
This is a unique opportunity to design, build, and deploy a wide range of applications⸺from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.
Key Responsibilities:
- Partner with Customers: Collaborate closely with customer stakeholders to understand their 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. This includes:
- Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index
- Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.
- Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.
- Serve as a Technical Expert: Act as a 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 that the solutions you build are robust, scalable, and directly contribute to the customer's 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.
Knowledge, Skills and Abilities:
AI & Machine Learning Expertise:
- Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).
- Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,
- Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.
Application Development & Operations:
- Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.
- Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).
- Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.
- Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.
- Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.
Requisite Education and Experience / Minimum Qualifications:
- Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.
- Education: A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
- Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
- DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.
- MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
- Be Better Together
- Debate, Decide, Commit
- Deliver Results
- Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.
Originally posted on Himalayas