Software Engineer - Machine Learning

Responsibilities:

• Translate customer support challenges into technical solutions in collaboration with customer support analysts.
• Partner with our Senior MLE to bring experimentation and research findings into production systems.
• Lead best practices in software engineering, including scalable and maintainable architectures, testing, and code reviews that support rapid development and deployment of features.
• Build and maintain data pipelines and monitoring systems to optimize chatbot functionality and operations.
• Promote software engineering best practices with team members and external contributors, serving as a go-to resource for technical guidance.

Required skills:

• Software engineering expertise: Strong experience in building, deploying, and maintaining scalable production systems.
• Machine learning applications: Proven track record of integrating large language models into production environments.
• Programming languages: Strong proficiency in Python as it is the primary language for development.
• Data engineering: Familiarity with building and maintaining data pipelines, data preprocessing, and ensuring data quality.
• System monitoring: Hands-on experience with tools and frameworks for monitoring and optimizing application performance.
• Testing and CI/CD: Experience with unit testing, integration testing, and CI/CD pipelines for reliable deployment.
• Cloud infrastructure: Experience with using cloud providers for data management and deployment via IaC.
• Mentorship: Experience mentoring junior developers or team members in software engineering best practices.

Nice-to-have skills:

• NLP techniques: Familiarity with natural language processing methods and tools beyond large language models.
• Knowledge retrieval: Experience in optimizing knowledge retrieval systems, working with knowledge bases, and implementing efficient algorithms for retrieving relevant information.
• Prompt engineering: Familiarity with advanced prompting techniques to improve contextual understanding and the quality of the responses.
• Knowledge graphs: Experience working with knowledge graphs and semantic technologies to enhance the representation and retrieval of information.

Our recruitment process:

• If you are interested in joining our team, the recruitment process is designed to be efficient and informative. Here is a general outline:
• Online technical assessment.
• Technical interview.
• Cultural interview.