
Senior Artificial Intelligence Engineer
2 days ago
A lead role in AIOPs requires a strong technical foundation, with experience in developing and deploying artificial intelligence and machine learning models. Proficiency in Python frameworks and libraries such as TensorFlow is essential for success.
- Developing and deploying AI/ML models, including large language models and agent-based AI architectures.
- Extensive hands-on experience with Python frameworks and popular machine learning libraries.
- Familiarity with Google Cloud Platform and Microsoft Azure infrastructure solutions.
- Modern monitoring and alerting systems for infrastructure health and performance optimization.
- Automation tools like Ansible and expertise in Unix and Windows environments.
- SAP ecosystems and robotic process automation tools like UiPath.
- Different service desk tools and IT service management processes.
- Data visualization tools like Tableau for effective insights.
Excellent problem-solving, communication, and articulation skills are required to lead cross-functional teams and translate business needs into scalable AI solutions.
Benefits:
- Mastery of AI and ML techniques to drive business growth.
- Opportunity to work on complex projects with cutting-edge technologies.
- Collaborative environment with experienced professionals.
Requirements:
- Strong background in computer science and software engineering.
- Hands-on experience with Python programming and data structures.
- Proficiency in TensorFlow and other machine learning libraries.
- Familiarity with cloud platforms and containerization.
- Knowledge of data visualization tools and techniques.
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