Senior Software Developer AI ML

Machine Learning Model Development: Develop and implement machine learning models using Python-based libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Apply algorithms like regression, classification, clustering, and deep learning to solve real-world challenges.

Data Pipeline Design and Maintenance : Design and maintain data pipelines for preprocessing, real-time processing, and feature extraction using Pandas and NumPy. Ensure data quality and availability for model training and deployment.

Model Optimization: Monitor deployed models for drift, performance issues, and accuracy. Regularly update models to improve accuracy and adapt to new data.

Database Management Systems (DBMS) Knowledge: Utilize PostgreSQL (preferred)/MySQL and other DBMS solutions for managing large datasets used in model training and deployment. Efficiently write SQL queries for data manipulation and model integration

Model Deployment: Deploy machine learning models using Django or Flask frameworks for seamless integration into applications. REST API Knowledge Cloud Technologies (AWS) S3, EC2, Lambda Linux Environment Proficiency