Jobs at SRM Technologies

Provide L2 infrastructure and security SME support: administer Windows/Linux servers, AD, DNS/DHCP/VPN, endpoint and email security, backup/BCP/DR, incident/RCA, compliance (ISO27001/HIPAA), vendor coordination, and operational reporting.

Lead enterprise data, analytics, and AI/ML strategy for a pharmaceutical organization. Drive cloud-based data platform design, data governance, BI and advanced analytics, operationalize ML models, and enable Commercial and R&D analytics using syndicated and clinical datasets.

Lead architecture and development of responsive web and mobile applications. Build reusable front-end components, optimise performance, author RESTful and GraphQL APIs, conduct code reviews, mentor junior developers, and drive testing, CI, and quality standards while collaborating with design and product teams and contributing to product roadmap.

Design, develop, and maintain scalable Python/FastAPI backend services and APIs. Build microservices, manage databases, implement secure auth, optimize performance, write tests, and support deployments in Agile teams.

Lead backend architecture and system design for distributed systems. Build high-performance Python/FastAPI services, RESTful and async APIs, design RDBMS and NoSQL schemas, ensure scalability, resilience, and maintainability, produce architecture docs, and guide teams on trade-offs and best practices.

Provide statistical expertise for clinical trial design, analysis, and reporting. Develop SAPs, randomization schemes, TLFs, SDTM/ADaM datasets, and define.xml. Program and validate analyses in SAS, R, and Python; create dashboards, Spotfire visualizations, and automated reports. Ensure CDISC/ICH compliance, support regulatory submissions, safety analytics, RBM, and present findings cross-functionally.

Build and deploy ML models on structured and unstructured data, design A/B tests, create visualizations, collaborate cross-functionally, operationalise pipelines with data engineering, develop domain expertise, and translate analyses into stakeholder recommendations.

Drive B2B lead generation and pipeline growth through outbound outreach and prospecting; close high-value deals with Tier-1 clients and OEMs; conduct market research; engage C-level decision-makers; deliver consultative proposals and presentations; use ZOHO CRM, LinkedIn Sales Navigator, Apollo.io, and ZoomInfo; collaborate with cross-functional teams and track sales performance metrics.

Design, build, and maintain reusable React front-end components; collaborate with designers, backend developers, and product managers; integrate with RESTful APIs; monitor performance; fix bugs; upgrade applications; and stay current with front-end trends and tooling.

Lead clinical data management for trials including CRF/eCRF design, EDC database setup, image data processing, query management, UAT/validation, regulatory standards (CDASH/SDTM), RBQM support, documentation (DMP, eCCG, DTA), and mentor junior team members to deliver quality milestones.

Develop ADAS computer vision, radar and sensor-fusion algorithms (stereo/mono camera, LiDAR, RADAR). Work on calibration, 3D reconstruction, SLAM, object tracking, filters, and production-grade deep learning models. Deploy and optimize CV/ML solutions on embedded/edge platforms using C/C++, Python, MATLAB, DL frameworks, and relevant toolchains.

Lead technical pre-sales for automotive embedded services by analyzing customer requirements, developing tailored solutions, collaborating with sales and technical teams, preparing proposals and estimations, delivering presentations, representing the company at events, and researching market and competitor trends.

Develop ADAS algorithms in computer vision, radar, and sensor fusion. Implement image processing, 2D/3D reconstruction, SLAM, and production-grade deep learning models for embedded/edge platforms.

Port and optimize ADAS and computer vision algorithms on embedded platforms. Develop in C/C++ and assembly for ARM/DSP/GPU SoCs (TI, Renesas, NXP, Qualcomm). Implement OpenVX/OpenCL/OpenGL/OpenCV pipelines, optimize DSP and neural network kernels, work with RTOS (Linux, QNX, FreeRTOS, SYSBIOS), and handle camera pipelines, video encoding, sensor fusion (RADAR, LIDAR, ultrasonic) and performance tuning on embedded systems.

Port, develop, and optimize ADAS and computer-vision algorithms on embedded platforms. Implement and tune DSP and neural network kernels using C/C++ and assembly on SoCs (TI TDA4 family, Renesas, NXP, Qualcomm, Intel). Work with OpenVX/OpenCL/OpenGL, OpenCV, ARM NEON, RTOS/Linux, and camera/computer-vision pipelines, focusing on performance, video/image processing, and sensor-fusion integrations.

Design, build, and deploy enterprise-scale Agentic AI and multi-agent systems, LLM fine-tuning and RAG pipelines, vector search, AI copilots, and production AI microservices. Lead model development, MLOps/CI-CD, cloud integration (Azure/AWS/GCP), monitoring, governance, and deliver measurable automation and business outcomes.