Responsibilities

• Designing and developing machine learning and deep learning systems
• Running machine learning tests and experiments
• Implementing appropriate ML algorithms
• 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, read and interpret top journal level papers

Requirements

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Ability to work on Jupyter Notebooks in small and large teams
• Ability to work using Agile SCRUMs
• Extensive knowledge of Statistical techniques and corresponding Python libraries like Pandas, SKLearn, Tensorflow and Keras
• Must have exposure to AutoML techniques like Automated Feature Engineering, Neural Architectural Search, Hyper-parameter Optimization
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BS/Btech/BE in Computer Science, Mathematics or similar field; Master’s degree is a plus