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The Software Engineer will build, test, and maintain the models, agentic solutions and infrastructure that power our solutions.
The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn.
The Software Engineer is an experienced individual contributor within a project team.
Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
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Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
Some professional or academic experience in software development, preferably using Python.
Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
Solid understanding of core computer science principles and software engineering fundamentals.
A collaborative mindset and strong communication skills.
working with large datasets and complex data pipelines.
Ability to work effectively in a collaborative, agile team environment.
An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.
Strong programming skills in Python.
Foundational knowledge of machine learning concepts and algorithms.
Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
Good analytical and problem-solving skills with keen attention to detail.
Familiarity with Git and version control workflows.
Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).
Location - Our hybrid work structure is an expectation of three (3) days a week in office.
This expectation may be adjusted to evolve with the changing needs of the business. #LI-ZY1
Multinational hospitality company managing a global portfolio of hotel brands.
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