• Deep Learning and TensorFlow 2.0
• Design, develop, and implement machine learning models using TensorFlow 2.0 for various business applications.
• Stay up-to-date with the latest advancements in deep learning and integrate them into our data science workflows.
• Collaborate with cross-functional teams to identify opportunities for implementing deep learning solutions.
• Data Normalization
• Implement effective data preprocessing and normalization techniques to ensure high-quality input for machine learning models.
• Work closely with data engineers and other stakeholders to maintain and enhance data quality throughout the entire data pipeline.
• Optimize existing data normalization processes for scalability and efficiency.
• SQL Proficiency: Utilize SQL to extract, manipulate, and analyze large datasets from various sources.
• Collaborate with data engineering teams to design and optimize SQL queries for efficient data retrieval.
• Conduct data exploration and validation using SQL to support data science projects.
• Model Evaluation and Improvement: Develop metrics and frameworks for evaluating the performance of machine learning models.
• Continuously monitor and improve model performance through iterative testing and optimization.
• Collaborate with data engineers to deploy models into production environments.
• Communication and Collaboration: Communicate complex technical concepts and results to both technical and non-technical stakeholders.
• Collaborate effectively with cross-functional teams including data engineers, business analysts, and domain experts.
  
  

• Data Scientist with expertise in TensorFlow 2.0, deep learning, data normalization, and a solid understanding of SQL to join our growing team.
• Master's or Ph.D. in Computer Science, Statistics, or a related field.
• Proven experience in developing and implementing machine learning models using TensorFlow 2.0.
• Strong understanding of deep learning concepts, architectures, and algorithms.
• Solid experience with data normalization techniques and best practices.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Please refer to job description.