Machine Learning Engineer

Company DescriptionBot Campus AI Learning Solutions Pvt Ltd is an innovative EdTech company specializing in online education in Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing. Our mission is to empower professionals with cutting-edge skills and practical knowledge. We offer a wide range of interactive courses and hands-on training designed to cater to both beginners and experienced tech professionals. With a focus on bridging theoretical concepts with real-world applications, we strive to help learners thrive in the rapidly evolving tech industry.Role DescriptionCore Skill Set:Machine Learning: Proficient in building and training models, and implementing algorithms necessary for the recommendation engine.Data Handling: Capable of managing the data pipeline, from ingestion and cleaning to processing and storage, which is essential for any AI-driven application.Integration: Able to integrate the machine learning models with the application backend, ensuring that the system's architecture supports AI functionalities effectively.Adaptability:While not primarily a web developer, this engineer would have sufficient knowledge to manage or collaborate on back-end tasks, particularly those that interface directly with their machine learning responsibilities.Efficiency in Development:Having a machine learning engineer who understands some full stack development can streamline the process of turning ML models into functional application components, reducing the need for extensive back-and-forth between separate teams.Responsibilities of This Hybrid Role:

Developing And Optimizing Machine Learning Algorithms Tailored To Your Specific Needs.Handling Data Acquisition, Cleaning, And Preprocessing To Ensure The Quality And Usability Of Data For Training Models.Integrating The Algorithms Into The Server-side Of The Application, Possibly Developing APIs That Allow The Frontend To Interact With The Machine Learning Models.Monitoring And Maintaining The Performance Of Machine Learning Models Once Deployed, Making Adjustments And Improvements Based On Real-world Usage And Feedback.Hiring Considerations

Experience with Machine Learning Projects: Look for candidates who have demonstrated experience in developing and deploying machine learning projects, especially those that involve product recommendations or similar functionalities.Knowledge of Backend Technologies: The candidate should have some proficiency with backend development technologies, particularly those related to data handling and API development, such as Python, Node.js, databases, etc.Problem-solving and Innovation: Given the startup environment, prioritize candidates who show strong problem-solving skills and the ability to innovate under constraints.This role would allow you to develop your AI-driven product with the necessary expertise and adapt to other development tasks as needed, aligning well with the startup’s resources and strategic goals.