Machine Learning Engineer
Core
Optimize and implement machine learning algorithms (NLP) for web-scale services and pipelines to deliver customized insights for corporate clients in healthcare, consumer goods, and financial services.
Role type
Senior Machine Learning Engineer (NLP)
Builds
AI analytics services and pipelines for Fortune 500 clients
Domain
Market research, Natural Language Processing (NLP), Healthcare, Consumer Goods, Financial Services
Deliverable
production ML models
Required skills
Python, TensorFlow, Keras, spaCy, NLTK, BERT, Hyperparameter tuning, Data structures and algorithms, OOPs, Design patterns, RDBMS/NoSQL, Graph databases, Knowledge-graph
Preferred skills
Azure, Microservices, Distributed Systems, Enterprise Design Patterns
Technologies
TensorFlow, Keras, spaCy, NLTK, Word2Vec, BERT, Python, Azure, Graph databases
Responsibilities
Optimize algorithms and models for performance and scalability; Engineer and implement ML algorithms into services and pipelines; Interface with data scientists and project managers to achieve sprint goals; Guide junior programmers and set up architecture; Design and develop well-documented code; Research and develop new approaches to problems; Design and implement schemas and databases for AI applications.