Machine Learning Internship - II null

We are looking for a passionate Machine Learning Trainee. The successful candidate will turn data into information, information into insight, and insight into business decisions.

Master the essential skills to land a job as a machine learning scientist! You’ll augment your Python programming skillset with the toolbox to perform supervised, unsupervised, and deep learning. You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. In the process, you’ll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.  

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field. 

Requirements 

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of maths, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics, or similar field; Master’s degree is a plus