4 hours ago
Responsibilities
- Partner with customer stakeholders to understand business goals, identify AI use cases, and define technical requirements.
- Design, develop, and deploy predictive AI, generative AI, RAG, chatbot, and agentic AI solutions.
- Build and deploy agents using frameworks such as LangGraph, CrewAI, and Llama Index.
- Develop classic machine learning models for forecasting, churn prediction, fraud detection, and similar use cases.
- Serve as a technical expert on DataRobot, AI/ML development, MLOps, model governance, and scaling AI initiatives.
- Build robust and scalable production applications, including APIs serving machine learning models and GenAI logic.
- Communicate technical concepts and project outcomes to data scientists, technical stakeholders, and C-level executives.
Requirements
- Approximately 6–8 years of hands-on experience in AI application development, software engineering, machine learning engineering, or a similar role.
- Master’s degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
- Strong proficiency in Python and common data science libraries such as pandas, scikit-learn, and NumPy.
- Practical experience with generative AI, large language models, vector databases, and agentic AI development and deployment.
- Experience building and deploying applications, including APIs with Flask or FastAPI to serve ML models and GenAI logic.
- Experience with Docker and container orchestration platforms such as Kubernetes.
- Understanding of secure application development, authentication and authorization, secrets management, and public endpoint security.
- Hands-on experience with AWS, Azure, or GCP.
- Client-facing or consulting experience with strong verbal and written communication skills.
- Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
- Familiarity with the DataRobot AI Platform is preferred.
Benefits
- Fully remote position with no regular office attendance requirement.
- Travel to client sites required up to 25%–50% of the time.
- Medical, dental, and vision insurance, subject to location and local legal requirements.
- Flexible Time Off Program and paid holidays.
- Paid parental leave.
- Global Employee Assistance Program and additional benefits.
Tech Stack
Categories
About DataRobot
DataRobot delivers the only agent workforce platform built for outcomes — not endless pilots.
