Who Are You?

We're seeking a Software Engineer with a keen interest in data infrastructure, language models, natural language processing (NLP), machine learning infrastructure, and related technologies such as Go, Python, PostgreSQL, GRPC. If you have less than two years of experience but possess a foundational understanding in these areas and are ambitious about growth and learning, you're the candidate we are looking for.

You Will:

• Play a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologies.

• Contribute to building scalable, reliable back-end systems using Go and Python, with an emphasis on machine learning model integration and management.

• Assist in the development, maintenance, and optimization of APIs designed for NLP and machine learning applications, using REST or GraphQL.

• Participate in the creation and maintenance of data schemas suitable for machine learning applications in databases like PostgreSQL.

• Gain experience in deploying and managing NLP models, including tuning and monitoring for performance and accuracy.

• Engage with cloud technologies and containerization tools (e.g., Docker, Kubernetes) to build a scalable machine learning infrastructure.

• Contribute to ensuring the security of applications, particularly those handling sensitive language data and machine learning models.

• Stay abreast of the latest advancements in NLP, language models, and machine learning technologies, applying this knowledge to improve our software development processes and practices.

Ideally, You'd Have:

• A Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.

• A foundational understanding of, or experience with, programming languages relevant to back-end development and machine learning, such as Python and Go.

• Basic knowledge of, or keen interest in, machine learning, NLP, and language model integration within enterprise applications.

• Familiarity with database technologies, especially those suited for machine learning applications such as PostgreSQL.

• An understanding of API development principles and experience with or interest in learning about deploying NLP and machine learning models.

• Curiosity and a learning mindset towards cloud technologies, containerization, and machine learning operations (MLOps).

• Strong analytical and problem-solving skills with meticulous attention to detail.

• The ability to work collaboratively within a team as well as independently in a global team setting.