Responsibilities
- Work with data scientists/data engineers to translate prototypes and theoretical models into functional, production ready code.
- Collaborate with product and engineering team to implement AI/ML models using PySpark.
- Understanding of AI/ML and large language models (LLMs).
- Work on productionalize the AL/ML model in Hadoop environment.
- Troubleshoot AI/ML Models post implementation to resolve issue raised by users.
- Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Basic qualifications
- Strong experience in PySpark and Python to integrate with AI/ML Models.
- Understanding of AI/ML Models and how they interface with OnPrem and Cloud environments.
- Familiarity with ML Ops/LLM Ops and distributed systems.
- Experience with Big Data platform like Cloudera Hadoop and Could platforms like AWS, GCP.
- Solid understanding of system design patterns, scalability, observability, and performance tuning.
- Strong analytical and problem-solving skills.
- Passion for exploring and building with emerging technologies.
Tags & focus areas
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