Overview
$Negotiable
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Contract
Skills
SQL
java
Healthcare
NLP
cTakes
UIMA
Job Details
Job Title: JAVA NLP Engineer
Location: USA - Remote
Duration: / Term: 6+ months Contract
Job Description:
- Designing and developing NLP applications for medical entity extraction and text mining
- Design Database to store NLP entities and relationship
- Using effective text representation techniques and classification algorithms
- Training and evaluating models
- Design end to end java applications
- Find and implement the right algorithms and tools for NLP tasks
- Perform statistical analysis of results and refine models
- Extend ML libraries and frameworks to apply in NLP tasks
- Remain updated in the rapidly changing field of machine learning
Requirements
- Clinical NLP experience (cTakes, UIMA)
- Strong Java development experience
- Deep understanding of health care domain
- Familiarity with Ontology tools and technologies
- Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Ability to effectively design software architecture
- Knowledge of Python, SQL
- Ability to write robust and testable code
- Experience with machine learning frameworks (like Keras, BERT or opennlp) and libraries (like scikit-learn)
- An analytical mind with problem-solving abilities
Key Skills:
NLP, Java, SQL, Ctakes, UIMA, Healthcare
VDart Inc is the leading global provider of digital solutions, products and talent management company providing digital technology solutions in Automotive, Manufacturing, Energy & Utilities and Healthcare Industries. Led by a strong global team located across 10 countries including USA, Canada, Mexico, Brazil, UK, Japan, Australia & India. We are currently accepting applications from staffing firms for our Preferred Partner Program, where we align niche staffing firms with specific verticals based on their strengths.