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AI Engineer
Posted 14 days agoViewed
💎 Seniority level: Middle, 3+ years
🔍 Industry: AI
🏢 Company: iGenius👥 101-250💰 $20,161,290 Series A over 2 years agoArtificial Intelligence (AI)Business IntelligenceAnalyticsInformation Technology
⏳ Experience: 3+ years
Requirements:
- 3+ years of hands-on experience implementing and optimizing machine learning models
- Strong programming skills in Python and related ML frameworks (PyTorch, TensorFlow)
- Experience with deploying and scaling AI models in production environments
- Familiarity with large language models, transformer architectures, and generative AI
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies
- Understanding of software engineering best practices (version control, CI/CD, testing)
- Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.)
Responsibilities:
- Implement and optimize large language models and generative AI systems for production environments
- Collaborate with researchers to translate research prototypes into scalable, efficient implementations
- Design and develop AI infrastructure components for model training, fine-tuning, and inference
- Optimize AI models for performance, latency, and resource utilization
- Implement systems for model evaluation, monitoring, and continuous improvement
- Develop APIs and integration points for AI services within our product ecosystem
- Troubleshoot complex issues in AI systems and implement solutions
- Contribute to the development of internal tools and frameworks for AI development
- Stay current with emerging techniques in AI engineering and LLM deployment
- Collaborate with data engineers to ensure proper data flow for AI systems
- Implement safety measures, content filtering, and responsible AI practices
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