Artificial Intelligence Developer
Job Description
An AI/LLM Engineer is responsible for designing, developing, testing, and deploying AI-powered applications using Large Language Models (LLMs), machine learning, and deep learning techniques. The role involves building intelligent solutions, integrating AI models into production systems, optimizing model performance, and developing computer vision applications for image processing tasks such as object detection, classification, and segmentation.
Responsibilities
AI & LLM Development
- Design, develop, test, and deploy Large Language Models (LLMs).
- Build AI-powered applications using machine learning and deep learning techniques.
- Fine-tune and optimize foundation models for specific use cases.
- Develop and maintain scalable AI solutions.
- Evaluate model performance and improve accuracy.
Computer Vision & Image Processing
- Develop image processing and computer vision solutions.
- Build object detection, image classification, and segmentation models.
- Implement algorithms using frameworks such as YOLO, SSD, and Faster R-CNN.
- Optimize computer vision models for performance and accuracy.
- Validate and benchmark image processing pipelines.
Model Integration
- Integrate AI and LLM solutions into existing applications.
- Collaborate with software engineering teams to deploy production-ready models.
- Develop APIs and AI services for application integration.
- Ensure scalability, reliability, and maintainability of AI systems.
Performance Optimization
- Monitor and optimize model performance across different hardware platforms.
- Troubleshoot inference latency, memory usage, and computational efficiency.
- Improve model deployment and resource utilization.
- Implement performance monitoring and optimization strategies.
Collaboration & Research
- Work with cross-functional teams including data scientists, ML engineers, and software developers.
- Research emerging AI, LLM, and computer vision technologies.
- Document model architecture, experiments, and deployment processes.
- Contribute to AI best practices and innovation initiatives.
Required Skills
Artificial Intelligence
- Large Language Models (LLMs)
- Machine Learning
- Deep Learning
- Generative AI
- Statistical Language Modeling (SLM)
- Model Fine-tuning
- AI Model Development
Computer Vision
- Image Processing
- Computer Vision
- Object Detection
- Image Classification
- Image Segmentation
- YOLO
- SSD
- Faster R-CNN
Programming
- Python
- C++
- API Development
- Model Deployment
- Performance Optimization
Frameworks & Libraries
- TensorFlow
- PyTorch
- OpenCV (Good to Have)
- Hugging Face (Good to Have)
Deployment & Engineering
- AI Solution Integration
- Production Deployment
- Model Monitoring
- Scalability
- Software Development
- System Optimization
Soft Skills
- Analytical Thinking
- Problem Solving
- Communication Skills
- Team Collaboration
- Critical Thinking
- Innovation
- Attention to Detail
- Time Management
- Adaptability
- Continuous Learning
Keywords
Large Language Models (LLM), AI Engineer, Machine Learning, Deep Learning, Generative AI, Statistical Language Modeling (SLM), Computer Vision, Image Processing, Object Detection, Image Classification, Image Segmentation, YOLO, SSD, Faster R-CNN, Python, C++, TensorFlow, PyTorch, Model Deployment, AI Integration, Performance Optimization, Software Development, Artificial Intelligence.