Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking a Natural Language Processing Engineer for a leading financial services client. The role is responsible for implementing machine learning models and solutions end to end, developing NLP and data-processing capabilities, and collaborating with business partners, data scientists, IT teams, and the Model Governance team.
Responsibilities
- Utilize grid space to retain transcripts, enabling keyword search and advanced data retrieval functionalities
- Conduct thorough quality checks to ensure the accuracy and reliability of the data and processes
- Develop saturated language-native queries and build sift SQL based on typing in keywords for enhanced search capabilities
- Create SQL queries outside of the grid space and seamlessly integrate them into our existing systems
- Work with sentence transformers to help review the standard quality on calls from the call centers
- Employ sift technology to enhance our data processing capabilities
- Code and implement solutions primarily in Python, ensuring optimal performance and scalability
- Collaborate with Business Partners, data scientists, IT teams, and Model Governance team to complete end-to-end implementation
- Create, test, and fine-tune machine learning models
- In-depth knowledge of machine learning data structures and modeling, software architecture, libraries, and frameworks
- Strong knowledge of machine learning packages and frameworks
- Data preparation and analysis skills to work with large datasets, preprocess them, and extract features
- Knowledge of data analysis, statistical modeling, and machine learning algorithms
- Compare model outputs using statistical validation techniques
- Build pipelines with Airflow, implement MLOps best practices, optimize, and deploy various ML models and solutions
- Monitor model performance and document results
- Experience with multi-threading and parallelization to improve compute efficiency
Skills
- • Bachelor's Degree in Computer Science or related degree
- • 3+ years' experience with Python programming and Databricks
- • 2+ years' experience with SQL-based queries, including creation, optimization, and integration
- • 2+ years' knowledge of Data Science and NLP
- • Understanding of precision and recall in data science
- • Experience with Data Mining
- • Familiarity with clustering and linking of data
- • Exposure to Text Mining and Natural Language Processing (NLP)
- • Familiarity with sentence transformers and their practical applications in real-world scenarios
- • Knowledge of sift technology or similar data processing tools is a plus
- • Experience working with insurance companies
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