A housekeeping job description typically includes cleaning and sanitizing rooms or homes restocking supplies handling laundry reporting maintenance issues and ensuring a clean safe and organized environment across assigned areas. Address: C/O TCS - Adibatla Village Survey No 255 (Part) Adibatla Village Ibrahimpatnam Mandal Ranga Reddy Dist Hyderabad - 501510. Telangana. TIN NO 36780129631TelangnaTSINDIA501510 Facility: TCS - ADIBATLA VILLAGE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575084
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A housekeeping job description typically includes cleaning and sanitizing rooms or homes restocking supplies handling laundry reporting maintenance issues and ensuring a clean safe and organized environment across assigned areas. Address: C/O TCS - Adibatla Village Survey No 255 (Part) Adibatla Village Ibrahimpatnam Mandal Ranga Reddy Dist Hyderabad - 501510. Telangana. TIN NO 36780129631TelangnaTSINDIA501510 Facility: TCS - ADIBATLA VILLAGE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575083
A housekeeping job description typically includes cleaning and sanitizing rooms or homes restocking supplies handling laundry reporting maintenance issues and ensuring a clean safe and organized environment across assigned areas. Address: C/O TCS - Adibatla Village Survey No 255 (Part) Adibatla Village Ibrahimpatnam Mandal Ranga Reddy Dist Hyderabad - 501510. Telangana. TIN NO 36780129631TelangnaTSINDIA501510 Facility: TCS - ADIBATLA VILLAGE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575086
A housekeeping job description typically includes cleaning and sanitizing rooms or homes restocking supplies handling laundry reporting maintenance issues and ensuring a clean safe and organized environment across assigned areas. Address: C/O TCS - Adibatla Village Survey No 255 (Part) Adibatla Village Ibrahimpatnam Mandal Ranga Reddy Dist Hyderabad - 501510. Telangana. TIN NO 36780129631TelangnaTSINDIA501510 Facility: TCS - ADIBATLA VILLAGE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575087
Associate - Housekeeping Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575015
Associate - Housekeeping Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575017
Associate - Housekeeping Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575021
Associate - Housekeeping Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575022
A housekeeping job description typically includes cleaning and sanitizing rooms or homes restocking supplies handling laundry reporting maintenance issues and ensuring a clean safe and organized environment across assigned areas. Address: C/O TCS - Adibatla Village Survey No 255 (Part) Adibatla Village Ibrahimpatnam Mandal Ranga Reddy Dist Hyderabad - 501510. Telangana. TIN NO 36780129631TelangnaTSINDIA501510 Facility: TCS - ADIBATLA VILLAGE Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575082
Associate - Housekeeping Address: Qualcomm India Private Limited SEZ 22nd, 21st, 20th, 19th and 18th Skyview 20 Building of M/s Divija Commercial Properties Pvt. Ltd IT/ITES SEZ at Raidurgam Village, Serilingampally Mandal, Ranga Reddy District.Hyderabad Facility: QUALCOMM HYDERABAD CMZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575013
About Us Connected International, Inc. (Connected Cannabis Co.) is a leading vertically integrated cannabis company based in Sacramento and operating in California, Arizona, and Florida. With over 11 years experience, Connected specializes in breeding, growing, manufacturing, and distributing top-shelf cannabis through its state-of-the-art facilities and proprietary genetics. With over 250 employees across the United States, Connected maintains a strong presence in the industry across multiple markets. The company has recently expanded into Arizona and Florida with ambitious national expansion plans underway. Connected's mission has always been to breed, grow, and sell the best cannabis in the world, setting high standards for its products, people, and partners wherever we go. About the Job A Brand Ambassador for Connected International will play a pivotal role in driving growth within designated markets. Their primary focus will be to support a range of activities including product demonstrations, Budtender trainings, product seeding, account follow-ups, administrative tasks, store visits, merchandising, and event support, among other miscellaneous support duties. This dynamic role requires a proactive go-getter to ensure the successful execution of our marketing strategies. They must be willing to work weekends, adapting to the demands of the role to meet our objectives effectively. This position is based on a temporary employment contract, with potential opportunities for extension based on performance and business needs. What You Will Do Receive and engage in training sessions led by Team Leads or experienced Brand Ambassadors to ensure up-to-date knowledge and skills. Participate in Demo's, Trainings, Events, Retail Installations, and Misc. duties. Prepare for shifts as necessary, ensuring all materials and products are ready and available for use. Support Retail merchandising with necessary materials and promotional items as required.
About the Role: Join us in shaping the future of streaming. Tubi is a free, ad-supported streaming service with a mission to make entertainment accessible to everyone. We serve millions of viewers with a massive library of movies, TV shows, live channels, and personalized recommendations, all without a subscription. As streaming continues to evolve, Tubi is building the technology, product experiences, and platform capabilities that help people discover and enjoy content effortlessly across every screen. If youβre excited by consumer-scale mobile engineering, high-quality user experiences, and the opportunity to impact how millions of people watch entertainment, weβd love to meet you. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. About the team: The Android team at Tubi builds the app experience that millions of users rely on to discover, browse, and watch content. We care deeply about performance, stability, accessibility, and thoughtful product execution. Our work spans core playback experiences, content discovery, personalization, onboarding, advertising experiences, and the mobile platform foundations that help teams ship quickly and safely. As a Senior Android Engineer, you will design, build, and deliver high-quality product features for Tubiβs Android app. Youβll work closely with Product, Design, Backend Engineering, QA, Data, and other client teams to create intuitive, reliable, and scalable mobile experiences. Youβll also help guide technical direction, improve engineering standards, mentor other engineers, and contribute to the long-term health of our Android codebase. This is a role for someone who enjoys building polished consumer products, solving complex technical problems, and raising the bar for Android engineering. What youβll do Build elegant, performant, and reliable Android experiences using Kotlin and modern Android development practices Lead the full l
About Us Connected International, Inc. (Connected Cannabis Co.) is a leading vertically integrated cannabis company based in Sacramento and operating in California, Arizona, and Florida. With over 11 years experience, Connected specializes in breeding, growing, manufacturing, and distributing top-shelf cannabis through its state-of-the-art facilities and proprietary genetics. With over 250 employees across the United States, Connected maintains a strong presence in the industry across multiple markets. The company has recently expanded into Arizona and Florida with ambitious national expansion plans underway. Connected's mission has always been to breed, grow, and sell the best cannabis in the world, setting high standards for its products, people, and partners wherever we go. About the Job A Brand Ambassador for Connected International will play a pivotal role in driving growth within designated markets. Their primary focus will be to support a range of activities including product demonstrations, Budtender trainings, product seeding, account follow-ups, administrative tasks, store visits, merchandising, and event support, among other miscellaneous support duties. This dynamic role requires a proactive go-getter to ensure the successful execution of our marketing strategies. They must be willing to work weekends, adapting to the demands of the role to meet our objectives effectively. This position is based on a temporary employment contract, with potential opportunities for extension based on performance and business needs. What You Will Do Receive and engage in training sessions led by Team Leads or experienced Brand Ambassadors to ensure up-to-date knowledge and skills. Participate in Demo's, Trainings, Events, Retail Installations, and Misc. duties. Prepare for shifts as necessary, ensuring all materials and products are ready and available for use. Support Retail merchandising with necessary materials and promotional items as required.
About the Role: As Sr Manager, Creator & Content Partnerships - Canada, you'll lead Tubiβs effort to source, grow, and manage relationships with Canadian creators. You will support the GM Tubi Canada, in expanding relationships with content partners. You will play a pivotal role in scaling and evolving our Canadian content proposition, helping to shape the broader Canadian content strategy, and contributing to the global Tubi for Creators initiative. This is a hands-on, high impact role that blends business development, partnership management, and strategic, data-led thinking. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Source, pitch, and secure partnerships with Canadian creators, working directly with creators, talent agencies and distributors/aggregators Support broader strategic content partnerships with streaming platforms, broadcasters, and other IP owners, working closely with the US-based Content Acquisitions & Partnerships team Play a key role in shaping the Tubi Canada content strategy, ensuring the offering resonates with Canadian audiences and drives viewing growth Manage ongoing relationships with creators and partners, including onboarding, marketing collaborations, & partnership growth Track and analyze partner performance to identify growth and optimization opportunities Your Background: Demonstrated knowledge of the Canadian content and streaming landscape, with established relationships across the creator ecosystem 7+ years of experience in the creator economy, digital media, streaming, or content partnerships Track record in creator acquisition and/or partner management Strong empathy and understanding for creators and a keen understanding of their needs, challenges, and business models Exceptional communication and relationship-building skills, with a demonstrable ability to work cross functionally Strong da
About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What Youβll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubiβs broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring
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