Senior IT AI/ML Engineer - Data Analytics
Tasks
- Apply machine learning techniques for business problem solving
- Build enterprise AI ML platform components
- Collaborate with data scientists ML engineers product managers and IT stakeholders
- Conduct code reviews and technical design discussions
- Design AI system architectures
- Develop AI-powered solutions
- Enable real time inference systems
- Evaluate and integrate AI tools frameworks and cloud solutions
- Implement AI model deployment lifecycle
- Implement responsible AI and security compliance
- Optimize AI ML systems for low latency and high throughput
- Perform proof of concepts for emerging AI technologies
- Set up automated testing and monitoring for AI systems
Perks/Benefits
Skills/Tech-stack
Automated testing | C++ | Data Engineering | Deep learning | Distributed Systems | Generative AI | LLMs | MLOps | Machine Learning | Monitoring | PyTorch | Python | R | Real Time | Real-time Inference | SQL | Scikit-learn | Security Compliance | Statistical modeling | Streaming Data | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI/ML Engineer | Engineer | IT | IT AI ML Engineer | ML Engineer | Senior Software Engineer | Software Engineer
Regions
Countries
States
Cities
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