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السعودية
Remote only
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:
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.