Knowledge of the health care vocabularies such as LOINC, SNOMED, and ICD10. Provide HL7 interface/data integration maintenance, support, and troubleshooting. This resource will provide HL7 interface/data integration maintenance, support, and troubleshooting specifically for ELR, eCR and CCD messages.

Develop machine learning and deep learning models and systems in domains including, but not limited to: image processing, NLP, NLU, NLG, SLU and multidimensional time series forecasting among others.

Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. 9+ years of relevant experience conducting text mining, NLP, machine learning, deep learning, artificial intelligence techniques-based models.

The Senior Machine Learning Engineer is a critical member of the data organization and is responsible for productionizing the models developed across the company. Partner with data science and data engineering to develop continuous improvement / continuous deployment processes and procedures.

Software Engineering: hands-on experience with SQL and NoSQL database fundamentals, query structures and design standard practices, including scalability, readability, and reliability; you are proficient in at least one object-oriented programming language, e.g. Python [specifically data manipulation packages - Pandas, seaborn, matplotlib], Apache Spark or Scala.

Maintain toolsets in areas such as master data management, search and indexing, and data modelling, and facilitate effective use by business users, developers and architects across the corporation.

Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment. A Data Scientist will collaborate to obtain data from sources, complete data clean up and build a data dictionary under guidance.

Perform project engineering for natural gas and other energy pipeline projects in the conceptual, feasibility, pre-FEED, FEED, preliminary, constructability, engineering, permitting, procurement and construction phases.

Design pattern, devops, expert, maven, programming, senior software engineer. Design and develop data engineering, data integration and data management practices and tools.

Knowledge of the health care vocabularies such as LOINC, SNOMED, and ICD10 Experience with system development methods used for the development of new systems and enhancements to existing information systems Rhapsody Professional or Expert Certification a plus Experience with both common and emerging interoperability standards such as Health Level Seven International (HL7) V2.

Provide 24x7 engineering technical support for the United Airlines worldwide fleet of aircraft (shift work is required) Provide engineering technical support for the United Airlines worldwide fleet of aircraft in a line environment.

Working knowledge of data management industry best practices such as DAMA DMBOK, CMMI DMM, EDM Council DCAM. Data Engineering & Architecture Consulting. Incorporate metadata into the data model and export for data consumers to better understand the data model.

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Business Intelligence, Operations Research, Engineering) and 3+ years' experience as a quantitative Data Analyst, Data Scientist or related role, or equivalent combination of education and relevant experience.

Validere is a measurement, reporting, and verification (MRV) SaaS company that helps energy organizations transform disconnected, incomplete data into clear and immediately actionable pathways to financial and environmental value.

Bsc/Msc/PhD degree in Petroleum/ Reservoir Engineering or related applied science or engineering. Monitor field and well performance data and plan further programmes for surveillance, risk management and reservoir studies.