ML Data Engineer

Job Description

We are looking for a highly skilled and passionate Data Engineer with strong Python/PySpark experience and understanding of AL/ML models to implement AL/ML models in OnPrem and Cloud environment. In this role, you will be responsible for implementing AL/ML Models in different environments leveraging Openshift/Kubernetics.

Job Title:
Data Engineer
-ML

• 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.

• 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.

Salary Range: $125,000 to $140,000 per year

BACHELOR OF COMPUTER SCIENCE