Synthetic Data Engineer

Job Role: We are seeking a motivated Synthetic Data Engineer to join our AI and data science team. As a fresher, you will help create, manage, and utilize synthetic datasets to train and validate machine learning models while ensuring data privacy and enhancing model robustness. Key Responsibilities: Assist in generating high-quality synthetic data for training AI/ML models Collaborate with data scientists to understand data requirements and privacy constraints Support the design and implementation of data synthesis algorithms and frameworks Help evaluate synthetic data quality and its impact on model performance Participate in data anonymization, augmentation, and privacy-preserving techniques Document methodologies, workflows, and experimental results Required Skills: Basic knowledge of machine learning, data privacy, and synthetic data concepts Familiarity with Python and libraries like NumPy, pandas, and data synthesis tools Understanding of statistical methods and data distribution modeling Good problem-solving and analytical skills Strong communication and teamwork abilities Nice to Have: Internship or academic projects related to synthetic data generation or data privacy Exposure to differential privacy, GANs, or simulation techniques Experience with cloud platforms and data engineering tools Eligibility: B.E./B.Tech/MCA in Computer Science, Data Science, AI, or related fields