DataRobot is looking to solve complex business challenges by translating them into cutting-edge AI solutions that deliver tangible business value for their strategic customers.
Requirements
- 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.
- 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.
- Hands-on experience with a major cloud platform (AWS, Azure, or GCP)
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.
- 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.
- Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index
- Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.
Other
- 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.
- A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
- Travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.
- Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills.
- Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.
