Proven experience as a Machine Learning or Artificial Intelligence Engineer. Candidate should have atleast designed, coded, deployed and implemented 1-3 productions use cases.
Understanding of data structures, data modeling and software architecture.
Ability to write robust code in Python.
Proficiency in machine learning frameworks like Tensorflow or PyTorch and libraries like scikit-learn is mandatory.
Proficiency with computer vision algorithms specifically in object detection. Ability to train single and multiple classes, knowledge in multiple algorithms is a plus.
Practical experience and deep knowledge in algorithms for Anomaly Detection, NLP, NLU, sentiment analysis, recommender systems.
Ability to perform statistical analysis and fine-tuning the model using test results.
Ability to deploy the machine learning models using flask, fastapi and ensuring the scalability.
Ability to work in Linux and containerization.
Outstanding analytical and problem-solving skills.
Strong drive to learn and master new technologies and techniques.
Deep knowledge of math, probability, statistics and algorithms is an added advantage.
Good communication skills.
Ability to work in a team.
Primary Skills: Python, Tensorflow or PyTorch, scikit-learn, Computer vision, Anomaly detection, Natural Language Processing, Linux, Containerization and model deployment and scalability is mandatory.
Secondary Skills: Probability, Statistics, Linear Algebra and Differential calculus in Maths, recommender systems, sentiment analysis, chatbots.