Experienced Supply Chain Management Analyst in India

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Job Details: Job Description: We are looking for a PERC Runset Development Engineer to develop and Validate PERC (Programmable Electrical Rule Checker) rule decks. The role involves working closely with PDK Team and foundry to implement PERC and ensure design compliance. Key Responsibilities: • Rule Development: Develop, validate, and maintain complex PERC rule decks to identify electrical reliability violations (e.g., ESD paths, current density, voltage stress, and floating gates). • Multi-Tool Integration: Develop and optimize verification flows across multiple EDA environments, ensuring consistency in results between Calibre PERC( preferred), Cadence Pegasus, and Synopsys tools. • Cross-Functional Collaboration: Work closely with Device Physicists, Process Integration Engineers, and Analog Designers to translate reliability requirements into programmable rules. • Debug and Analysis: Provide expert-level support to design teams in debugging PERC violations, distinguishing between true reliability risks and tool-induced false positives. • Automation: Develop scripts (Python, SKILL, Tcl, or Perl) to automate the execution, reporting, and tracking of reliability checks across different design versions. • Documentation: Maintain detailed documentation of reliability check-sets and create guidelines for designers to implement correct-by-construction layouts. Qualifications: Required Skills: • Experience with PERC rule development (preferably using Calibre PERC). • Knowledge of ESD, latch-up and reliability verification. • Familiarity with SVRF, TVF, Python or Tcl scripting. • Strong debugging and problem-solving skills. • Knowledge of Linux and scripting (Python/Shell/Tcl) is desirable. • Experience with advanced technology nodes is an advantage. • Team player and be able to work with globa

Chambermaid required for a corporate site having an experience of 2 - 3 years Address: CGI, Plot No. 22, Seepz, Gate No. 1 Andheri East Mumbai Facility: CGI INFO SYSTEMS - FM MUMBAI Qualification: 10th Experience: 2 - 4 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP568939

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568569

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568570

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568564

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568571

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568567

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568565

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568563

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568572

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568568

... Address: Sintex Industries Ltd,Sodexo Food Solutions (I) Pvt. LtdVillage: Lunsapur, Rajula, Dist. Amreli. Facility: SINTEX INDUSTRIES - YARN DIV RAJULA - FS Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568573