
Expert Data Analyst and AI Developer Wanted
5 days ago
The restaurant industry produces a vast amount of data, presenting a unique opportunity for intelligent solutions. We're building powerful AI and machine learning driven features that provide actionable insights and automation for our clients.
Our platform is built on AWS, utilizing modern architecture, RESTful APIs, and advanced services like SageMaker Studio for AI/ML initiatives. This role involves designing and developing machine learning models and algorithms to address specific business needs within the restaurant management domain.
Key responsibilities include building scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. Additionally, you'll deploy and monitor machine learning models in production environments, ensuring performance, reliability, and scalability.
This role also involves contributing to the development of the AI/ML roadmap and identifying opportunities for innovation. You'll continuously evaluate and improve existing machine learning models through experimentation, retraining, and the application of new techniques.
Required skills and qualifications include 3+ years of professional experience with data analysis and data science. Strong programming ability with SQL, Python, Pandas, Numpy, Scikit-learn is necessary. Experience with Time Series Analysis (TSA) and understanding modern statistical methods are also required.
This position offers opportunities for growth and development, including leadership and mentorship opportunities. You'll work collaboratively with product managers, software engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
Benefits include a supportive and intellectually stimulating work environment. As an expert in AI and machine learning, you'll have the opportunity to stay up-to-date with the latest advancements in the field and apply them to real-world problems.
Job Requirements:
- 3+ years of professional experience with data analysis and data science
- Strong programming ability with SQL, Python, Pandas, Numpy, Scikit-learn
- Experience with Time Series Analysis (TSA)
- Understanding modern statistical methods
Preferred Qualifications:
- Experience with data engineering
- Experience with AWS Sagemaker Studio
- Experience working with LLMs
- Degree in statistics, mathematics, or closely related field
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