Selected Intern's Day-to-day Responsibilities Include Research, identify, and understand business requirements to identify opportunities for applying predictive modeling and machine learning techniques Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project objectives and requirements Design and implement predictive modeling and machine learning solutions, including data preprocessing, feature engineering, and model selection Develop and deploy predictive software applications into production, leveraging Python (or similar scripting languages) for efficient development Expertise in training and fine-tuning LLMs on diverse datasets, ensuring superior performance, and adapting models for specific applications and domains. Work with cloud-native solutions on platforms such as AWS, GCP, or Azure for scalability and flexibility Apply a range of machine learning algorithms for different tasks, including classification (SVM, decision tree, random forest, neural network), regression (linear, polynomial, logistic, etc), and graph theory (network analytics) Utilize classical optimization techniques such as gradient descent and others for model optimization and parameter tuning Utilize deep learning techniques, including LSTM, convolutional neural networks (CNN), and recurrent neural networks (RNN), for tasks such as natural language processing, image recognition, or time series analysis Experience with training ML models using Pytorch or tensorflow. About Company: We deliver business growth by providing AI-powered data enrichment. Currently working in stealth mode.

Selected Intern's Day-to-day Responsibilities Include Assist in the development and maintenance of backend services and APIs using Node.js and Express.js. Collaborate with the front-end team to integrate user-facing elements with server-side logic. Work with databases such as nosql databse :- DynamoDB Write clean, efficient, and reusable code. Learn and apply best practices in software development, including version control (Git) and Familiarity with RESTful APIs and web application architecture. Understanding of asynchronous programming and event-driven architecture. Basic knowledge of databases (e.g., MongoDB, MySQL, PostgreSQL). Familiarity with version control systems like Git. Problem-solving attitude and eagerness to learn new technologies. Good communication skills and ability to work in a collaborative environment. About Company: We deliver business growth by providing AI-powered data enrichment. Currently working in stealth mode.

Selected Intern's Day-to-day Responsibilities Include Collaborate with our experienced developers to design, develop, and maintain high-quality mobile applications across multiple platforms Assist in the implementation of user-friendly interfaces and engaging features that enhance the user experience Conduct thorough testing and debugging to ensure robustness and identify any issues or improvements needed Stay updated with the latest industry trends and best practices in mobile app development to contribute innovative ideas and solutions Work closely with the design team to translate wireframes and UI/UX designs into functional mobile applications Integrate REST APIs and Firebase services to enable seamless data exchange and real-time functionalities Assist in the deployment of mobile apps to app stores and ensure a smooth and efficient release process If you are eager to learn and grow as a mobile app developer in a collaborative and fast-paced environment, apply now and be a part of our exciting journey at Factacy.Ai! About Company: We deliver business growth by providing AI-powered data enrichment. Currently working in stealth mode.