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We are seeking an R&D Scientist in Specialty Polymers to develop, formulate, and characterize advanced polymer materials for applications across automotive, electronics, healthcare, coatings, and packaging. The role involves hands-on lab work, cross-functional collaboration, and supporting scale‑up for commercialization. Position based in Khatima, Uttarakhand.
The Sr Manager - Test will lead and manage the testing processes within the technology department, ensuring the delivery of high-quality solutions. This role is based in Dehradun and focuses on driving excellence in the retail and homewares/DIY sectors.
The Client Relationship Manager will oversee and manage client relationships & focuses on driving strategic business development in the pharmaceutical sector by identifying opportunities, presenting proposals, and nurturing key industry relationships. It also involves working closely with senior leadership to provide market insights, support growth initiatives, and represent the company at industry events
The India Site Head will oversee the technology department for a professional services consultancy, ensuring operational excellence and strategic growth. This leadership role requires a strong understanding of the industry and the ability to manage cross-functional teams effectively.Location - Pune
This role leads end‑to‑end ownership of key product modules within a global logistics and last‑mile SaaS platform. It involves deep product strategy, customer collaboration, and cross‑functional execution to deliver scalable, high‑impact capabilities.
Be responsible for ensuring measurement accuracy, statistical process control, and data‑driven decision‑making across high‑volume manufacturing operations. The role focuses on metrology system capability, calibration reliability, automated SPC monitoring, experiment tracking, and driving improvements through correlation analysis and VOC‑based actions.
The role of the Data Platform & Governance Director - APAC is to lead APAC data platform strategy and data product governance, ensuring scalable, standardized, and cost-efficient data solutions aligned with global models and AI/Analytics priorities. They will oversee the full lifecycle of data products, drive alignment with global standards, and evaluate improvements with clear cost, risk, and impact trade-offs.
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