ML Data Engineer

About the role

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

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.
• Apply understanding of AI/ML and large language models (LLMs).
• Work on productionalizing the AI/ML model in a Hadoop environment.
• Troubleshoot AI/ML Models post implementation to resolve issues raised by users.
• Monitor model performance and continuously improve efficiency, accuracy, and user experience.

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 MLOps/LLMOps and distributed systems.
• Experience with Big Data platforms like Cloudera Hadoop and cloud 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.
• Bachelor of Computer Science.

Pay

Salary range: $125,000 to $140,000 per year.