Machine Learning Engineer

Machine Learning Engineer with 1-2 Years of experience in ML model/algorithm design and implementations. He/She,

Must have:

• Understanding or experience in solving AI-hard or AI-complete problems like computer vision or natural language understanding.
• Depth understanding of Deep learning algorithms.
• Good knowledge of Exploratory Data Analysis and Feature engineering.
• Ability to write code in Python/R. Python is mostly preferable.
• Knowledge of basics of probability, algorithms, and statistics
• Good communication skills and team player attitude
• Degree in Engineering, Computer Science, or Mathematics.
• Basic understanding of the communication protocols like HTTP, REST.
• Good Knowledge of Git.

Good to have:

• Experience in ML platforms like Azure ML, Kubeflow, AWS SageMaker.

You will be given the following Responsibility in BeezLabs:

• Responsible for the end-to-end implementation of AI/ML models/algorithms for the new products.
• Develop machine learning applications according to requirements
• Works with various product owners inside the company and identifies AI-based solutions that can be added to the products.
• Responsible for maintaining and re-training the existing production grade models deployed.
• Responsible for the innovation with respect to Machine Learning.
• Run machine learning tests and experiments.