AI/ML Engineer for Price Optimization

We are looking for a highly skilled AI/ML Engineer to develop, train, and deploy intelligent machine learning models for price optimization and predictive analytics. The role involves working with real-time data, forecasting models, and competitive pricing strategies.

? Key Responsibilities:

✅ Develop and implement AI-based predictive models using historical data.
✅ Train ML models to analyze price fluctuations, demand patterns, and external data sources.
✅ Design & optimize dynamic bidding algorithms for real-time pricing.
✅ Integrate AI models with external APIs for real-time data analysis.
✅ Develop AI-driven secondary market pricing optimization.
✅ Implement Reinforcement Learning for smart pricing strategies.
✅ Build AI models for competitor price tracking and trend analysis.
✅ Deploy AI models in a scalable cloud-based architecture.
✅ Work closely with backend developers to integrate AI-based recommendations.

? Required Technical Skills:

✅ Machine Learning & Deep Learning: Experience with TensorFlow, PyTorch, Scikit-Learn, Keras.
✅ Predictive Analytics & Time-Series Forecasting: Using XGBoost, LSTMs, Random Forest, Bayesian Models.
✅ Big Data Processing: Experience with Apache Spark, Hadoop, Pandas, NumPy for large-scale datasets.
✅ NLP & Data Scraping: Building AI models to track external sources and analyze trends.
✅ Reinforcement Learning (RL): Implementing AI-driven dynamic pricing strategies.
✅ Cloud Deployment & Scalability: AWS Lambda, Google Cloud AI, Azure ML for hosting AI services.
✅ Database & Data Engineering: PostgreSQL, MongoDB, Redis for real-time data storage.
✅ API Development & Integration: Working with RESTful APIs, GraphQL.
✅ Smart Contract & Web3 Integration: Knowledge of blockchain automation and AI-driven Web3 transactions (Preferred).