Data Engineering Specialist for AI Solutions
4 semanas atrás
At Pleez, we are seeking a highly skilled Data Scientist to design and implement robust data processing pipelines that can handle multiple data streams in near real-time.
Key Responsibilities- Data Processing Pipelines: Design and develop efficient data processing pipelines to handle multiple data streams in near real-time, ensuring scalability and high performance.
- AI-Powered Services: Build services powered by AI using different types of models, leveraging various techniques to handle a significant number of requests.
- Collaboration: Work closely with cross-functional teams to understand business requirements and identify use cases related to the food delivery industry.
- Model Development: Research, experiment, and fine-tune models to identify the best solutions for different use cases, optimizing performance and accuracy.
We estimate the salary range for this position to be between $120,000 and $180,000 per year, depending on experience.
Requirements- Bachelor's or Master's Degree: In Computer Science, Data Science, or a related field.
- Experience: Proven experience in designing and implementing data processing and transformation pipelines.
- Skills: Strong knowledge of AI techniques and methodologies, including different types of models. Proficiency in programming languages such as Python (examples: Pandas, NumPy, scikit-learn, Keras or TensorFlow). Strong analytical and problem-solving skills, with the ability to understand complex business requirements and translate them into technical solutions.
- Communication: Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
At Pleez, we offer a dynamic work environment with opportunities for professional growth and development. If you're passionate about data engineering and AI, and delivering innovative solutions in the food delivery industry, we'd love to hear from you.
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