Experienced And Lead Level Structural Analysis Engineer in India

Job Description Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs. Key Responsibilities Client Engagement: Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges. Needs Analysis: Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions. Solution Presentation: Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points. Technical Expertise: Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients. Collaboration: Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation. Customization: Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients. Competitive Analysis: Stay up to date with industry trends and competitors' offerings to effectively position our services. Proposal Creation: Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs. Knowledge Sharing: Keep the team informed about industry’s best practices, client feedback, and emerging trends. Qualifications Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience. Proven experience in a consulting role, preferably in data analytics. Strong understanding of data analytics technologies, tools, and methodologies. Strong exposure to Data Eng

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍 Location: Marathalli, Bengaluru 📍Shift: Night Shift Options: 8:30 PM – 3:00 AM | 9:00 PM – 6:00 AM 📍 Salary: ₹27,000/month + Incentives 📍 Work Location: Kitchen / In-Office Setup About the Role We are looking for motivated individuals to join our night shift data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two night shift environments — a kitchen setup and an in-office setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor and Trainer during the shif

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍Location: Marathalli, Bengaluru 📍 Shift: Morning: 6:00 AM– 2:30 PM | 📍Evening: 1:00 PM – 8:00 PM 📍 Salary: ₹25,000/month +Incentives 📍 Work Location: Airbnb / Kitchen Setup About the Role We are looking for motivated individuals to join our data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two environments — household setups (Airbnb locations) and a kitchen setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor, Trainer, and Live QA during the shift • Complete the s

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Building AI-native products is a different problem than building deterministic software: the same input won't always produce the same output. Good product engineering here means designing experiences that stay useful, trustworthy, and easy to understand even when the AI underneath doesn't behave the same way twice — and knowing when that's a product design problem, not just a model problem. We're looking for a Software Engineer with 2-7 years of experience who thinks like a product owner, not just an implementer. You're comfortable being handed a vague, half-formed problem and figuring out what's actually worth building. You default to empathy for the researcher or participant on the other end of the screen, and you'd rather ship something real and learn from it than wait for a perfect spec. You're fluent enough with modern LLM-based systems to build good product experiences on top of them, even if tuning the model itself isn't your job. What you'll do Own end-to-end delivery of product features — from an ambiguous problem statement to shipped, working software real researchers and participants use Partner directly with Product and Design to help define what should be built, not just how to build it Use our design system to make sound, independent calls on smaller UX and interaction decisions, and know when a change is big enough to loop Design in Build the product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understand

Food Preparation Chop slice measure and assemble ingredients (mise en place) for daily service.Cooking & Plating Cook dishes according to precise recipes and plating standards.Station Management Keep the assigned work area clean organized and sanitary.Inventory & Stock Monitor stock levels handle deliveries and rotate food items to reduce waste.Team Support Guide junior helpers communicate clearly during peak hours and assist senior chefs. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 4 - 6 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574616

Suitable female candidate with sould knowledge and personality Address: & 34 Bhageerath 402-Bhageerath SB Road Near Pavillion Mall Pune& 34 Facility: Persistent Systems - Bhageerath IFM Pune Qualification: Graduate Experience: 3 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574925

Suitable female candidate with should knowledge and personality Address: & 34 Vedas Complex Rajiv Gandhi IT Park Phase-I Hinjawadi Pune& 34 Facility: Persistent Systems-Vedas Complex IFM PN Qualification: Graduate Experience: 3 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574926

Chop slice measure and assemble ingredients (mise en place) for daily service.Cooking & Plating Cook dishes according to precise recipes and plating standards.Station Management Keep the assigned work area clean organized and sanitary.Inventory & Stock Monitor stock levels handle deliveries and rotate food items to reduce waste.Team Support Guide junior helpers communicate clearly during peak hours and assist senior chefs. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 4 - 8 years Source: Sodexo India | Job Code: IJP574623

Assemble install test and maintain electrical or electronic wiring equipment appliances apparatus and fixtures using hand tools and power tools Of offices and guest house. Diagnose malfunctioning systems apparatus and components using test equipment and hand tools to locate the cause Of a breakdown and correct the problem. Maintain current electrician& 39 s license or identification card to meet governmental regulations. Address: Ashagadh, Thane, Dahanu Road-401602, Maharashtra, India Facility: ACG ASSOSCIATED CAPSULES - FM MUMBAI Qualification: ITI Experience: 4 - 10 years Source: Sodexo India | Job Code: IJP574946

Suitable female candidate with should knowledge and personality Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: Graduate Experience: 3 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574928

Current one has resigned due to family reasons and not serving the notice period Address: Birla Aurora, 8th and 13th floor, Dr.Annie Bezant Road, Mumbai Facility: BIRLA ESTATE - FM MUMBAI Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574461

Staff Management Supervise train and schedule servers hosts and bartenders. Conduct pre-shift briefings and performance evaluations.Operations Oversight Manage opening and closing duties monitor inventory levels and handle point-of-sale (POS) systems.Customer Service Greet guests ensure satisfaction and resolve complaints or special requests professionally.Quality & Safety Control Enforce local health hygiene and food safety regulations. Inspect dining areas for cleanliness and proper setup.Department Coordination Liaise with the kitchen stewarding and management teams to streamline service. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP574629

Suitable female candidate with should knowledge and personality Address: & 34 Ramanujan Blue Ridge Phase 1 Rajiv Gandhi Infotech Park Hinjawadi Pune& 34 Facility: Persistent Systems - Ramanujan IFM Pune Qualification: Graduate Experience: 3 - 5 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574929

Associate Housekeeping Address: Floor 5th 6th and 7th Survey no 83/1 plot no& 39 s 9 10/A 10/B AND 8B/2 RMZ Nexity Knowledge City Road Raidurg village Rangareddy Hyderabad Facility: CGI INFO SYSTEMS GCC - FM HYD Qualification: Not Specified Experience: 2 - 3 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP574242

Good Knowledge in upkeep of facility and chemicals Address: 12th 13th 14th & 15th floor H10 Tower3 Phoenix SEZ Access Road Phase 2 HITEC City Hyderabad Telangana Facility: MSD-INDIA-HYDERABAD-GCC-CORE Qualification: 10th Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP574342