Skills Required
Technical Expertise
- Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and advanced generative AI techniques.
- Proficiency in OpenAI APIs (ChatGPT, GPT models) and Gemini (Google AI) for building conversational AI, multimodal solutions, and enterprise integrations.
- Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
- Experience with prompt engineering, fine-tuning large language models (LLMs), and leveraging embeddings for semantic search.
- Familiarity with cloud-based AI platforms (Google Vertex AI, Azure AI, AWS SageMaker) and MLOps practices for deployment and monitoring.
Programming & Development
- Advanced proficiency in Python and experience with RESTful API development for integrating OpenAI and Gemini services.
- Expertise in building scalable AI microservices and orchestration using containerization (Docker, Kubernetes).
- Strong understanding of software engineering best practices, version control (Git), and CI/CD pipelines.
Data Management & Governance
- Knowledge of data preprocessing, feature engineering, and data quality assurance for LLM training and inference.
- Understanding of data privacy regulations (GDPR, CCPA) and ethical AI principles.
- Ability to implement robust data governance and security frameworks for sensitive enterprise data.
Leadership & Strategy
- Proven ability to lead cross-functional teams and manage large-scale AI programs leveraging OpenAI and Gemini capabilities.
- Strategic thinking to align AI initiatives with business objectives and ROI.
- Strong decision-making skills under uncertainty and ability to prioritize competing demands.
Analytical & Problem-Solving
- Exceptional analytical skills to interpret complex datasets and derive actionable insights.
- Ability to troubleshoot AI models, optimize performance, and ensure cost-efficient API usage.
Communication & Stakeholder Management
- Excellent verbal and written communication skills for presenting technical concepts to non-technical audiences.
- Ability to influence senior leadership and drive organizational buy-in for AI initiatives.
Experience Required
- 5+ years of experience in AI/ML development and deployment.
- 2+ years in a leadership role managing AI teams and projects
- Proven track record of delivering AI solutions that drive business impact.
- Experience in enterprise-level AI strategy and implementation.
- Advanced degree (Master's or Ph.D.) in Computer Science, AI, Data Science, or related field.
SALARY AND BENEFITS
- RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
- Health, dental, and vision insurance.
- Retirement savings plan with company match.
- Paid time off and holidays.
- Professional development opportunities.
- Performance-based bonus based on position. #LI-JL1 #LI-REMOTE
Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.
Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.