Synthetic Data Engineer (Freelance Interview)
Offer summary
Qualifications:
5+ years of experience in data engineering or a related field., Strong proficiency in data generation techniques and machine learning., Experience with data privacy and security protocols., Excellent problem-solving and analytical skills..Key responsabilities:
- Design and implement synthetic data generation techniques.
- Develop and maintain machine learning models for data generation.
- Ensure data privacy and security in synthetic data generation.
- Collaborate with cross-functional teams to integrate synthetic data into machine learning pipelines.
Job description
Job Role: Synthetic Data Engineer (Freelance Interviewer)
Location: Remote
Experience: 8 - 20 years
Responsibilities
Design and implement synthetic data generation techniques
Develop and maintain machine learning models for data generation
Ensure data privacy and security in synthetic data generation
Collaborate with cross-functional teams to integrate synthetic data into machine learning pipelines
Requirements
5+ years of experience in data engineering or related field
Strong proficiency in data generation techniques, machine learning, and data modeling
Experience with data privacy and security protocols
Excellent problem-solving and analytical skills
Nice to Have
Experience with cloud-based data platforms
Knowledge of DevOps practices and tools
Familiarity with agile development methodologies
Skills:
Synthetic Data Generation, Machine Learning, Data Privacy, Data Modeling, Data Engineering
Required profile
Experience
Other Skills
- Analytical Skills
- Problem Solving
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