Systems Integration Manager Consumer Devices in India

... Address: 2ND FLOOR OFFICE 1 CENTAURUS Phoenix Tech Zone Pvt Ltd Wipro Circle Manikonda Jagir Gachibowli K.V. Ranga Reddy Seri Lingampally Facility: ZF PASSIVE SAFETY SYSTEMS INDIA - FM HYD Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP570556

The Financial Controller will be responsible for overseeing all finance and accounting functions for the Ports Business, including budgeting, financial planning & analysis, management information systems (MIS), accounting, treasury management, working capital management, receivables management, statutory compliance, audits, and financial reporting. The role is critical in driving business growth through strong financial governance, effective controls, compliance management, and strategic decision support. Source: Adani Group | Job ID: 57620

The Maintenance Engineer – Electrical is responsible for ensuring the optimal functioning, maintenance, and repair of electrical systems and equipment within coal mining sites. This role involves planning and executing preventive and corrective maintenance to minimize downtime and enhance equipment reliability. The position requires the application of safety standards, compliance with regulatory requirements, and the use of digital tools to streamline maintenance processes. The engineer collaborates with cross-functional teams to ensure efficient operations and continuous improvement in electrical systems performance. Source: Adani Group | Job ID: 57661

To ensure compliance with all environmental regulations, statutory requirements, and company environmental policies. The role is responsible for monitoring environmental performance, obtaining statutory approvals, managing pollution control systems, and driving sustainability initiatives at the plant. Source: Adani Group | Job ID: 57343

To ensure compliance with all environmental regulations, statutory requirements, and company environmental policies. The role is responsible for monitoring environmental performance, obtaining statutory approvals, managing pollution control systems, and driving sustainability initiatives at the plant. Source: Adani Group | Job ID: 57331

The Financial Controller will be responsible for overseeing all finance and accounting functions for the Ports Business, including budgeting, financial planning & analysis, management information systems (MIS), accounting, treasury management, working capital management, receivables management, statutory compliance, audits, and financial reporting. The role is critical in driving business growth through strong financial governance, effective controls, compliance management, and strategic decision support. Source: Adani Group | Job ID: 57354

The Central / Site Environment Executive is responsible for supporting the Environment Lead in ensuring environmental compliance and stewardship across mining operations. This role involves assisting with the implementation of environmental management systems, coordinating with regulatory bodies, conducting monitoring activities, and preparing reports to maintain adherence to environmental standards and regulations. Source: Adani Group | Job ID: 57326

This role is responsible to perform the safe and efficient operation of the Ash Handling Plant (AHP), including the operation of vacuum pumps, air compressors, ash unloading systems, and evacuation systems. The role involves monitoring equipment performance, executing unloading and loading of ash, maintaining cleanliness, and ensuring the smooth transportation of ash. Additionally, the role is also responsible for managing environmental aspects of ash disposal to maintain operational excellence and sustainability in AHP. Source: Adani Group | Job ID: 57457

The Central / Site Environment Executive is responsible for supporting the Environment Lead in ensuring environmental compliance and stewardship across mining operations. This role involves assisting with the implementation of environmental management systems, coordinating with regulatory bodies, conducting monitoring activities, and preparing reports to maintain adherence to environmental standards and regulations. Source: Adani Group | Job ID: 57328

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

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

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 has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo