A C Operator in India

... Address: Reliance House Unitech Commercial Tower Tower-A Netaji Subhash Marg Block B Greenwood City Sector 45 Gurugram Haryana Facility: Reliance Industries - Gurgaon FM Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP569423

... Address: Reliance House Unitech Commercial Tower Tower-A Netaji Subhash Marg Block B Greenwood City Sector 45 Gurugram Haryana Facility: Reliance Industries - Gurgaon FM Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP569420

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

About the Team The Commerce Platform team at Meesho drives end-to-end growth, strategy, and operational excellence across key verticals: - User Growth: Scales the full lifecycle funnel—from acquisition and activation to retention—ensuring sustainable user growth and engagement across the platform. - Marketplace: Focuses on strengthening the seller ecosystem and improving selection quality to create a robust and reliable marketplace experience. - Category: Identifies high-potential segments, launches and scales new categories, and drives assortment expansion to meet evolving customer demand. - Mall: Builds a trusted branded destination for quality-conscious users, enhancing the platform’s premium and branded shopping experience. - Pricing: Ensures competitiveness and affordability, enabling the platform to deliver strong value for customers while maintaining marketplace health. - Content Commerce: Powers content-led discovery through creator ecosystems and inspiration-driven shopping journeys that drive engagement, trust, and conversion. Together, these verticals identify whitespace opportunities, launch and scale new initiatives, and continuously optimize the user lifecycle through data-backed decisions. Operating in a fast-paced, high-ownership environment, the team combines structured problem-solving with rapid execution to deliver meaningful impact. If you’re excited about building for Bharat, this role offers both strategic depth and hands-on impact. About the Role As an Associate Director – Programs, you will be a senior leader responsible for one or more strategic charters that drive key business and customer outcomes. You will own end-to-end problem-solving for critical workstreams, navigating complex challenges and ensuring strong execution and operational excellence across the organization. This is a hybrid individual contributor and people-manager role. You will directly lead high-priority initiatives while managing and developing a team of Senior Man

The Divisional Incharge (Projects)-SM plays a critical role in driving business development activities within the Smart Metering domain. This includes identifying and pursuing new opportunities, supporting project execution, and contributing to the development and implementation of innovative solutions. By leveraging market insights and fostering strong collaboration with stakeholders, this role ensures the successful expansion of the Smart Metering business while aligning with organizational goals for growth and innovation. Source: Adani Group | Job ID: 57259

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: Unilever Industries Private Limited Tower A Prestige Shantinikethan Whitefield Main Road White field Bangalore - 560048 Karnataka Facility: HUL- BANGALORE UNIOPS KITCHEN -FS Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP568713

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Team The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services. Position Summary As the DevOps Engineer for the R&D team, you will build and own the infrastructure and automation that enables us to develop and release software with speed and confidence. You will be responsible for creating and managing our CI/CD pipelines, defining our infrastructure as code, and ensuring our deployed assets are scalable, secure, and observable. You will be a key enabler of the team's agility, implementing the tools and processes that allow us to innovate and iterate quickly while maintaining a high bar for quality and reliability. Responsibilities Design, build, and maintain the team's CI/CD pipelines to automate the build, test, and deployment of our software assets. Manage and provision cloud infrastructure using Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation). Implement and manage monitoring, logging, and alerting solutions to ensure the health and performance of

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Team The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services. Position Summary As a QA Automation Engineer, you will be a critical guardian of quality for the R&D team. You will be responsible for designing, building, and maintaining the automated testing frameworks that ensure our reusable assets are robust, reliable, and bug-free. You will embed a "quality-first" mindset within the team, working closely with developers to implement comprehensive test strategies and integrate them into our CI/CD pipeline. Your work will directly ensure that the tools we provide to our field teams and partners are trusted and effective. Responsibilities Design, develop, and maintain scalable and reliable automated test frameworks for UI, API, and performance testing. Write and execute automated test cases to ensure comprehensive test coverage for all developed assets. Integrate automated testing into the CI/CD pipeline to enable continuous delivery and rapid feedback. Work closely with developers and

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Team Overview: Roundel is Target’s entry into the media business with an impact of $1B&#43;; an advertising sell-side business built on the principles of first-party, people-based data, brand-safe content environments and proof that our marketing programs drive business results for our clients. We are here to drive business growth for our clients and redefine “value” in the industry by solving core industry challenges rather than simply replicating existing industry methods of operation. Roundel is a key growth initiative for Target and aims to lead the industry toward a better way of operating within the media marketplace. Target Tech is on a mission to off

Need Experience Hand Address: Advanced Energy Systems (A.D.E.S) S.A.E. - Registered office - Kanakia Wallstreet Building Wing AUnit Number 403 4thFloor Chakala Andheri Kurla Road Chakala Midc Mumbai Andheri East Maharashtra India. Facility: ADES ADMIRAL XI Qualification: 10th Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP568178

Housekeeper is responsible for maintaining a clean safe hygienic and welcoming environment for students teachers staff and visitors. Key duties include Cleaning and sanitizing classrooms laboratories libraries offices corridors staircases and washrooms. Sweeping mopping dusting vacuuming and polishing floors and surfaces. Emptying waste bins and ensuring proper waste segregation and disposal. Address: Aditya Birla World Academy ,Gamadia Colony,Near tardeo PO,Mumbai Facility: ADITYA BIRLA WORLD ACADEMY- FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568383

Housekeeper is responsible for maintaining a clean safe hygienic and welcoming environment for students teachers staff and visitors. Key duties include Cleaning and sanitizing classrooms laboratories libraries offices corridors staircases and washrooms. Sweeping mopping dusting vacuuming and polishing floors and surfaces. Emptying waste bins and ensuring proper waste segregation and disposal. Address: Aditya Birla World Academy ,Gamadia Colony,Near tardeo PO,Mumbai Facility: ADITYA BIRLA WORLD ACADEMY- FM Qualification: Not Specified Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568382