Senior AI Engineer – Professional Services

🔥 1 hour ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DataRobot

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

📋 Description

• Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions. • Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. • Develop and deploy agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index. • Build custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. • Develop and deploy classic machine learning models for forecasting, churn prediction, and fraud detection. • 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. • Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives. • 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 • A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field. • 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. • 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. • 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).

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!