Sr. Staff Software Engineer Job ID 655

Specific Duties Include:

• 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.
• Option to work remotely within the U.S. 60% of the time

Position Requires

• A Bachelor’s degree, or foreign equivalent, in Computer Science, or a closely related field of study, plus 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.
• Must have 5 years of experience working with each of the following
• Object-oriented design principles
• Microservice architectures
• C#, Java, or Python
• Relational databases such as PostgreSQL or Microsoft SQL Server, and non-relational databases such as MongoDB or NoSQL.
• Specific experience must also include:
• Engaging in high bandwidth conversations with executives
• Developing, deploying and maintaining NLP applications, NLP pipelines and algorithms, or NLP tool and service engineering
• Working in agile development incorporating Continuous Integration and Continuous Delivery (CI/CD) and utilizing GIT and Jenkins
• Serving as technical lead throughout the full software development lifecycle, from conception, architecture definition, detailed design, scoping, planning, implementation, testing to documentation, delivery and maintenance
• Applying best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Developing distributed/scalable systems and high-volume transaction applications.
• Option to work remotely within the U.S. 60% of the time.