GenAI Engineer
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Summary
Designs, develops, tests, and deploys generative AI models using Python and PySpark, and builds big data pipelines (Hadoop/Spark) to collect and process training datasets. Also evaluates model performance on benchmarks and integrates GenAI solutions into existing systems with cross-functional teams.
Roles and Responsibilities
- Design, develop, test, and deploy generative AI models using Python and PySpark.
- Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.
- Develop data pipelines to collect, process, and analyze large datasets for training generative AI models.
- Conduct performance evaluation of generative AI models on various benchmarks.
- Troubleshoot issues related to generative AI model behavior and provide recommendations for improvement.
Desired Candidate Profile
- 3-5 years of experience in Generative AI development with a strong background in Python programming language.
- Bachelor's degree in Computers (B.Tech) or equivalent from a reputed institution.
- Proficiency in working with big data technologies such as Hadoop ecosystem (HDFS, MapReduce, Spark), Pandas, NumPy etc.