GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
Job Description
Responsibilities:
In this role you will :
Work with other data scientists and principal data architects to develop deep learning models to extract medical entities from a large set of medical records
You will be responsible for designing and programming a small module or a large component and designing a feature, set of features, or whole
You will be involved in annotation, analyzing & curating the data required for training the models
Improve model performance, contribute to successful implementation of MLOPS
You will ensure to maintain code quality through best practices, unit testing and code quality automation
You will be the expert in writing code that meets standards and delivers the desired functionality using the technology selected for the project
You will assure proper documentation of technical data generated for the assigned projects and/or tasks consistent with engineering policies and procedures
You will demonstrate the understanding of Agile software development lifecycle and able to distinguish the core inputs and outputs in each cycle.
You will engage in technical discussions; participate in technical designs and present technical ideas through white boarding
You will use GE approved tools & technology to analyze security loopholes in your code & ensure they are rectified as per the accepted guidance
Qualifications / Requirements
Bachelor’s Degree in Computer Science or in STEM” Majors (Science, Technology, Engineering and Math)
A minimum of 6+ years of professional experience in data science
A minimum of 2+ years of professional experience in NLP domain
Data acquisition and NL modeling: harvesting NL resources from the Web, rapid bootstrapping of domain-specific and multilingual NL models for named-entity, syntactic parsing and text classification
NL systems: large-scale development and deployment, performance monitoring, tuning and optimization of NL models
NL methodology: grammar-based, data-driven and machine learning-based, hybrid approaches
NL technologies: spoken language understanding, language translation, natural language search, syntax-semantics.
Must have hands on experience in any of the deep learning framework.
Deep understanding on traditional NLP strategies, models, and use cases.
Thorough understanding of advance NLP techniques like language modelling, machine translation, drift detection in textual data, etc.
Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems
Hands on experience with NLTK tool, tokenization, lemmatization, NER model architecture, creating an NLP pipeline with sentence resolver, relationship extraction, chunk merge approach
Annotation of texts using NLP annotators such as inception
transforming a model from research to production and ability to fine-tune model performance in a production setting using adaptive/incremental machine learning techniques
Hands on experience in Configuration Management Tools such as GIT & JENKINS
Desired Characteristics
Excellent communication skills
Excellent team player
Experience in working with distributed global teams
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
#LI-GM2
Additional Information
Relocation Assistance Provided: Yes
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