The company is looking to optimize operational efficiency across engineering teams and drive innovation through the implementation of advanced AI systems.
Requirements
- Proficiency in programming languages such as Python, Java, C, and C++
- Deep understanding of machine learning algorithms, neural networks, and statistical modeling
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with classical machine learning techniques (e.g., XGBoost, scikit-learn) and time series analysis (e.g., Prophet, LSTMs)
- Experience with large language models (LLMs), agentic frameworks, and prompt engineering
- Familiarity with containerization and version control tools like Docker and GitHub
- Proficiency in cloud infrastructure, specifically Azure AI Foundry, Cosmos DB, VNet, Entra ID auth, Blob storage, App Service, AI Search, Azure Monitor & Alerts
Responsibilities
- Develop and implement AI strategies to optimize operational efficiency across engineering teams
- Lead end-to-end machine learning system design, including model development, evaluation, and deployment
- Lead the integration of AI solutions into existing customer support tools, enterprise software and infrastructure
- Design, build, and deploy AI models and algorithms to solve complex business problems
- Monitor and evaluate the performance of AI systems, making necessary adjustments to improve accuracy and effectiveness
- Provide technical leadership and mentorship to team members on AI-related projects
- Stay up to date with the latest advancements in AI technology and industry trends
Other
- Advanced degree (Master’s or Ph.D.) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a related field
- Minimum of 10 years of hands-on experience in AI systems development and implementation
- Strong analytical, problem-solving, and communication skills
- Travel Time: 0% - 25%
- Physical Attributes: Feeling, Handling, Hearing, Seeing, Talking, Works Alone, Works Around Others
- Physical Requirements: Regular business hours (8:00 AM to 5:00 PM); 70% sitting, 15% standing, 15% walking
