Senior Staff AI/Machine Learning Engineer
Flex
AirflowAWSAzureCloudGoogle Cloud PlatformKubernetesPandasPythonPyTorchScikit-LearnSparkTensorflow
Senior AI Engineer
DataRobot
full-time
Posted on:
Origin: • 🇺🇸 United States • California, Massachusetts, New York
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesNumpyPandasPythonScikit-Learn
About the role
- 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
Requirements
- 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
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