Machine Learning (ML) Engineer

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

Required Qualifications

Bachelor's degree in computer science/electrical engineering or equivalent practical experience

7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting

Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision

3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.

Experience with PyTorch or TensorFlow or other ML Frameworks.

Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

In this role you will:

Design and implement ML components, systems and tools to automate and enable our various AI industry solutions

Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.

Own the ML pipeline from data collection, through the prototype development to production.

Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack