Machine Learning Engineer

Responsibilities

Work on execution and scheduling of all tasks related to assigned projects' deliverable dates

Optimize and debug existing codes to make them scalable and improve performance

Design, development, and delivery of tested code and machine learning models into production environments

Work effectively in teams, managing and leading teams

Provide effective, constructive feedback to the delivery leader

Manage client expectations and work with an agile mindset with machine learning and AI technology

Design and prototype data-driven solutions

Eligibility

Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications

Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)

In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)

Expertise in writing scalable APIs for machine learning models

Experience with maintaining code logs, task schedulers, and security

Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning

Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch