- Design, develop, and deploy Machine Learning and AI models for business applications.
- Build scalable AI/ML pipelines for training, testing, deployment, and monitoring.
- Perform data collection, preprocessing, feature engineering, and model optimization.
- Develop predictive, classification, recommendation, and forecasting models.
- Implement Deep Learning models using industry-standard frameworks.
- Build Generative AI solutions leveraging Large Language Models (LLMs).
- Fine-tune foundation models and optimize inference performance.
- Collaborate with business teams to translate requirements into AI-driven solutions.
- Develop APIs and integrate AI models into enterprise applications.
- Establish MLOps best practices for model lifecycle management.
- Monitor model performance, drift, and retraining requirements.
- Create technical documentation, architecture diagrams, and deployment guides.
- Stay updated with emerging AI technologies and industry trends.
Required Skills
Artificial Intelligence & Machine Learning
- Machine Learning Algorithms
- Supervised & Unsupervised Learning
- Reinforcement Learning
- Deep Learning
- Generative AI
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation Systems
- Time Series Forecasting