Teams at SRM Technologies

Design, develop, and maintain scalable cloud data pipelines and lakehouse solutions using Python, PySpark, Snowflake, dbt, Apache Iceberg, AWS, and SQL. Build ETL/ELT frameworks, optimize distributed processing and warehouse workloads, implement data quality and governance controls, and support production engineering practices. Own complex technical designs, troubleshoot performance and reliability issues, contribute to architecture decisions, review code, document solutions, and mentor other data engineers.

Develop ADAS AI/ML solutions focused on computer vision and radar algorithms. Responsibilities include image processing, mono and stereo camera systems, LiDAR point-cloud processing, coordinate transformations, camera calibration, 3D reconstruction, depth imaging, SLAM, and production-grade deep learning models. The role also requires understanding radar, imaging and optics systems, neural networks, machine learning techniques, Kalman and particle filters, and clustering methods.

Administer and develop Salesforce across Sales, Service, and Experience Clouds. Configure security, data models, automation, integrations, Apex, Lightning Web Components, deployments, and CPQ solutions. Gather requirements, troubleshoot complex platform issues, support authentication and connected applications, manage releases, and communicate technical solutions to business stakeholders.