Sr. Lead/Sr. Engineer– Enterprise AI Platform

   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

As a Platform Engineer, you will build the backbone of our AI ecosystem, ensuring our data pipelines and services are robust, scalable, and efficient.

• Focus: Infrastructure, Data Engineering, and Scalable Backend Systems

Key Responsibilities:

• Develop and modify specialized utility programs and general applications to optimize operational efficiency.

• Design and manage large-scale data warehouses and build complex ETL pipelines.

• Bridge the gap between on-premises data and AWS-based cloud pipelines (SageMaker, Glue, Athena).

• Optimize system performance to meet stringent latency and scalability requirements for global enterprise use.

Requirements:

• Experience: 3-7 years in ML Engineering, Data Engineering, or Software Development.

• Technical Stack: Solid experience with Python, SQL, and AWS analytical technologies (Glue, Athena, QuickSight, SageMaker).

• Big Data: Proficiency in data modeling, warehousing, and handling large-scale data exchange formats.

  • Education: Bachelor’s in CS/Engineering; Masters with a focus on Data Science/ML is a plus.