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Synthetic Data Generator Architect

3 weeks ago

Bengaluru Karnataka, India Swathi Business Solutions Full time

**Experience**:5 - 7 YEARS**:
**Location**:BANGALORE, HYDERABAD, CHENNAI (REMOTE)**:
**CTC TO BE OFFERED **:Mention your Current and Expected CTC**:
**Notice Period**:Immediate to 30 days**:
**KeySkills**:
**SYNTHETIC DATA GENERATOR ARCHITECT, MACHINE LEARNING, DATA GENERATION, ARTIFICIAL INTELLIGENCE, DESIGNING, IMPLEMENTING DATA GENERATION SYSTEMS, PYTHON, R, JAVA, LIBRARIES, FRAMEWORKS, TENSOR FLOW, PYTORCH, SCIKIT-LEARN, DIFFERENTIAL PRIVACY, K-ANONYMITY, I-DIVERSITY, SYNTHETIC DATA INTEGRATION, ARCHITECTURAL DESIGN, ALGORITHM DEVELOPMENT, PRIVACY AND SECURITY, ANONYMIZATION AND PERTURBATION TECHNIQUES, QUALITY ASSURANCE, COLLABORATION, RESEARCH, INNOVATION, DATA SECURITY, DOCUMENTATION, REPORTING, AWS, AZURE, GOOGLE CLOUD PLATFORM, BIG DATA TECHNOLOGIES, HADOOP, SPARK, FLINK.**
**- They will be responsible for designing and implementing algorithms and systems to generate synthetic data that accurately reflects real-world scenarios while preserving privacy and security.

**KEY RESPONSIBILITIES**:

- Architectural Design: Design and implement robust systems for generating synthetic data at scale, considering factors such as data diversity, distribution, and complexity.
- Algorithm Development: Develop innovative algorithms and techniques for generating synthetic data that mimic real-world patterns and behaviors across different domains.
- Privacy and Security: Ensure that synthetic datasets preserve privacy and confidentiality by implementing appropriate anonymization and perturbation techniques.
- Quality Assurance: Establish quality metrics and validation procedures to assess the fidelity and utility of synthetic data generated by the system.
- Research and Innovation: Stay abreast of the latest advancements in data generation, privacy-preserving techniques, and machine learning to continually improve the synthetic data generation pipeline.
- Documentation and Reporting: Document architectural designs, algorithms, and implementation details, and prepare reports or presentations to communicate progress and findings.

**KEY SKILLS AND QUALIFICATIONS**:

- Degree in Computer Science, or a related field with a focus on machine learning, data generation, or artificial intelligence.
- Experience: 5+ years of experience in designing and implementing data generation systems, preferably in industry settings.
- Machine Learning: Strong understanding of machine learning algorithms and techniques.
- Programming: Proficiency in programming languages such as Python, R, or Java, and experience with libraries/frameworks such as Tensor Flow, PYTorch, or scikit-learn.
- Software Engineering: Solid software engineering skills with experience in designing and developing scalable, modular, and maintainable software systems.
- Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Problem-solving: Strong analytical and problem-solving skills with a passion for tackling challenging problems in data generation and machine learning.

**PREFERRED QUALIFICATIONS**:

- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of big data technologies such as Hadoop, Spark, or Flink

**Note**:
**(i) Our client is looking for immediate & early joiners.**

**(ii) Having LinkedIn Profile is a must.