AI/ML Engineer
4 tygodni temu
Role Overview: As an AI/ML Engineer at PAR Data Central, you will play a crucial role in enhancing our platform's capabilities by developing and refining machine learning models that drive accurate forecasting, event analysis, and data-driven decision-making.
Key Responsibilities:
- Design, implement, train, and fine-tune machine learning models that handle large datasets.
- Develop forecasting models based on economic trends, consumer behavior, and millions of internal and external data points.
- Contribute to architectural decisions regarding the choice of frameworks and tech stacks for solutions.
- Work closely with cross-functional teams to align AI/ML capabilities with business goals.
- Develop natural language processing models for content generation and personalization.
- Lead experiments to assess the latest advancements in AI/ML and adapt them to our product needs.
Qualifications:
- At least 4 years of hands-on experience as an AI/ML Engineer or Data Scientist with a strong focus on predictive modeling and data analysis.
- Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Strong programming skills in Python, R, or C#.
- Experience working with time series data, forecasting models, and event-driven analytics.
- Knowledge of natural language processing (NLP) and its applications in query optimization.
- Experience with large datasets and data preprocessing.
- Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
- Excellent problem-solving abilities and a passion for innovation.
- Eagerness to learn and experiment with new tools.
- Proficiency in English (B2+).
- Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or a related field.
Preferred Skills:
- Experience with cloud platforms. Familiarity with Microsoft Azure services is a plus.
- Familiarity with tools like Tableau, Power BI, or similar data visualization tools.
- Experience with A/B testing and other experimental design methodologies.
- Experience in the restaurant or hospitality industry is a plus but not required.
We offer a generous remuneration package that includes:
- Sick leave days.
- Unbonded PTO (Paid Time Off);
- Competitive Contract Employment Salary Opportunities
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