Sr. Staff Software Engineer
Company | IMO Health |
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Location | Houston, TX, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- A Bachelor’s degree, or foreign equivalent, in Computer Science, or a closely related field of study
- 5 years of experience in the job offered, or as a Senior Staff Engineer, Software Project Manager, Software System Engineer, or similar position in software development
- 5 years of experience working with object-oriented design principles
- 5 years of experience working with microservice architectures
- 5 years of experience with C#, Java, or Python
- 5 years of experience with relational databases such as PostgreSQL or Microsoft SQL Server, and non-relational databases such as MongoDB or NoSQL
- Experience engaging in high bandwidth conversations with executives
- Experience developing, deploying and maintaining NLP applications, NLP pipelines and algorithms, or NLP tool and service engineering
- Experience working in agile development incorporating Continuous Integration and Continuous Delivery (CI/CD) and utilizing GIT and Jenkins
- Experience serving as technical lead throughout the full software development lifecycle
- Experience applying best practices for the full software development life cycle
- Experience developing distributed/scalable systems and high-volume transaction applications.
Responsibilities
- Spearhead the development of Natural Language Processing (NLP) pipelines for the biomedical segment
- Implement and fine-tune large language models for complex tasks in biomedical NLP
- Develop and refine machine learning models for entity, relation extraction, and concept normalization
- Oversee AWS DevOps strategies, ensuring robust and scalable deployment of NLP solutions
- Implement cloud-based architectures to handle large-scale data processing and model deployment efficiently
- Work closely with data scientists, software developers, and product teams to align NLP solutions with business objectives and user needs in the biomedical domain
- Stay abreast of the latest advancements in NLP and machine learning, applying cutting-edge research and methodologies to ongoing projects.
Preferred Qualifications
- Option to work remotely within the U.S. 60% of the time.