Patdel Analytics is looking for AI / ML Engineer to join our dynamic team and embark on a rewarding career journey. Data Collection : Gather, preprocess, and clean data from various sources to create datasets suitable for training machine learning models. Feature Engineering : Select, extract, and engineer relevant features from data to improve model performance. Model Selection : Choose appropriate machine learning algorithms and models based on the problem at hand, such as regression, classification, clustering, or deep learning models. Model Training : Train machine learning models using historical data and employ techniques like supervised, unsupervised, and reinforcement learning. Hyperparameter Tuning : Optimize model performance by adjusting hyperparameters and fine - tuning the model to achieve the best results. Evaluation : Assess model performance using various metrics and techniques, such as cross - validation, ROC curves, and confusion matrices. Deployment : Deploy machine learning models into production systems, including web applications, mobile apps, or IoT devices. Continuous Improvement : Monitor model performance in real - world applications and retrain models as necessary to adapt to changing data patterns.

Patdel Analytics is looking for Project Manager to join our dynamic team and embark on a rewarding career journey. Coordinating with cross - discipline team members to make sure that all parties are on track with project requirements, deadlines, and schedules. Meeting with project team members to identify and resolve issues. Submitting project deliverables and ensuring that they adhere to quality standards. Preparing status reports by gathering, analyzing, and summarizing relevant information. Establishing effective project communication plans and ensuring their execution. Facilitating change requests to ensure that all parties are informed of the impacts on schedule and budget. Coordinating the development of user manuals, training materials, and other documents as needed to enable successful implementation and turnover of the process or system to the clients. Identifying and developing new opportunities with clients. Obtaining customer acceptance of project deliverables. Managing customer satisfaction within the project transition period. Conducting post - project evaluation and identifying successful and unsuccessful project elements.