Senior AI ML Engineer

About the job

Job Title: Senior AI ML Engineer About the Role: As a key member of our team, you will be responsible for building and operating training/serving systems and data pipelines for ML/LLM powered applications in the fintech domain. The ideal candidate will have expertise in designing and deploying ML models, as well as experience with data pipelines and feature stores. You will work closely with cross-functional teams to identify opportunities for innovation and drive business impact through your work. Develop and deploy ML models that meet business requirements Design and implement data pipelines for large-scale data processing Collaborate with stakeholders to understand business needs and develop solutions Requirements: Fluent in Python programming language Experience with designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment Ability to manage model versions and deployments Experience with operating ML products that provide real-time prediction services Preferred Qualifications: Experience with Pyspark and Polars in large-scale projects Knowledge of AWS ML-related services (EMR, Glue, Sagemaker, Athena, etc.) Expertise in optimizing high-performance models using GPU Become an Expert in Your Field: At our organization, we offer competitive compensation packages, comprehensive benefits, and opportunities for growth and professional development. We are committed to fostering a culture of innovation, collaboration, and continuous learning.

Requirements

• Python
• Hadoop Ecosystem
• Data Pipelines
• ML Models

Preferred Technologies

• Python
• Hadoop Ecosystem
• Data Pipelines
• ML Models