Data Engineer

� Analyze large and complex datasets to derive actionable insights and inform business strategies.
� Develop and implement advanced machine learning models and algorithms.
� Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
� Communicate findings and recommendations to stakeholders and executive leadership.
� Stay updated with the latest trends and technologies in data science and machine learning.

Basic Qualifications:
� Proficient in Python, Pandas, NumPy, Scikit-Learn, PySpark
� Bachelor�s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
� Minimum of 8 years of experience in a data science role.
� Proficiency in programming languages such as Python or R..
� Strong understanding of machine learning techniques and algorithms.

Preferred Qualifications:
� Experience with modern ML frameworks such as PyTorch, TensorFlow
� Experience with big data technologies such as PySpark
� Experience with ML model training within cloud infra such as Azure, AWS, GCP
� Proven track record of successfully deploying and optimizing ML models in a production environment.
� Excellent communication and visualization skills to effectively present data insights to non-technical stakeholders.