AI/ML Lead Engineer

Role Description

• Understanding business objectives and build models that help achieving the desired results
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Defining validation strategies, pre-processing or feature engineering to be done on a given dataset
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Independently handle technical and architectural discussions with internal and external stakeholders
• Collaborate with the team and communicate effectively, to solve problems
• Establish benchmarks, standards, techniques and mechanisms for defining, measuring, and optimizing non-functional requirements.
• Provide technical thought leadership and improvise the processes being followed
• Mentoring and managing team members, by giving constant feedback, and by providing guidance

Key Desirables

• 6+ years of experience in building AI/ML based solutions
• Proficiency with Python, Scala, R and basic libraries for machine learning such as scikit-learn and pandas
• Strong experience in Deep Learning and Machine Learning frameworks (NLP / CNN / RNN - TensorFlow / Keras )
• Strong experience in Data Science, Statistics and probability, Data Engineering and Exploratory data analysis
• Good understanding on Image Classification and Text Classification Algorithms.
• Ability to write robust and testable code
• Able to write and deploy code on cloud and knowledge of Docker.
• Strong experience in cloud platforms and services for training and deploying the models
• A Degree / Nanodegree / Certification in (AI/ML specialization)