The posting
🔹 1. AI Model Development
- Design and build machine learning (ML) and deep learning (DL) models
- Work with frameworks like TensorFlow, PyTorch, Scikit-learn
- Train, test, and optimize models for accuracy and performance
🔹 2. Data Handling & Preprocessing
- Collect and clean structured/unstructured data
- Perform data preprocessing and feature engineering
- Work with large datasets using SQL, Python, or big data tools
🔹 3. Algorithm Implementation
- Develop AI algorithms such as: Natural Language Processing (NLP) Computer Vision Recommendation Systems
- Improve model efficiency and scalability
🔹 4. Model Deployment & Integration
- Deploy AI models into production environments
- Integrate AI solutions with web or mobile applications
- Use cloud platforms (AWS, Azure, Google Cloud)
🔹 5. Performance Monitoring
- Monitor model accuracy and performance
- Update and retrain models when required
- Fix bugs and improve system reliability
🔹 6. Collaboration & Communication
- Work with software developers, data scientists, and business teams
- Explain AI concepts to non-technical stakeholders
- Document AI solutions and workflows
🔹 7. Research & Innovation
- Stay updated with latest AI trends
- Experiment with new tools and technologies
- Improve existing AI systems
🛠 Required Skills
Technical Skills:
- Programming: Python, R, Java
- ML/DL Frameworks
- Data structures & algorithms
- Statistics & Mathematics
- Cloud & DevOps knowledge
Soft Skills:
- Problem-solving
- Critical thinking
- Communication skills
- Team collaboration



