Multi Purpose Worker Jobs

... Address: Sector 37 Pace City II Plot No 563 Sector 37 Pace City II Gurugram Facility: OPU GURGAON Qualification: 10th Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP570696

... Address: Sector 37 Pace City II Plot No 563 Sector 37 Pace City II Gurugram Facility: OPU GURGAON Qualification: 10th Experience: 1 - 1 years Source: Sodexo India | Job Code: IJP570697

... Facility: GSL EDUCATION SOCIETY Qualification: Not Specified Job Code: IJP567667 | Source: Sodexo India

... Facility: GSL EDUCATION SOCIETY Qualification: Not Specified Job Code: IJP567665 | Source: Sodexo India

... Facility: GSL EDUCATION SOCIETY Qualification: Not Specified Job Code: IJP567666 | Source: Sodexo India

... Facility: GSL EDUCATION SOCIETY Qualification: 12th Job Code: IJP563321 | Source: Sodexo India

... Facility: PARLE PRODUCTS MUMBAI - FS Qualification: Not Specified Job Code: IJP565417 | Source: Sodexo India

... Facility: PARLE PRODUCTS MUMBAI - FS Qualification: Not Specified Job Code: IJP565418 | Source: Sodexo India

... Address: 110 Rajiv Gandhi Salai OMR Kottivakkam Chennai, Tamil Nadu Facility: ISWARYA HEALTH PRIVATE LIMITED - FS Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP566348

... Facility: ADITYA BIRLA MGMT - FS GYANODAYA Qualification: 10th Preferred Gender: FEMALE Job Code: IJP566894 | Source: Sodexo India

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is building the next generation of intelligent agents powered by AI. We're seeking a Senior AI Agentic Engineer to lead this transformation across the enterprise. This is a strategic role for someone who can bridge the gap between AI technology and business value, designing and deploying AI-powered workflows that deliver measurable outcomes. You'll work across IT, people operations, marketing, sales, finance, legal, and procurement to architect AI-first solutions that solve complex business problems. Responsibilities: Architect and implement AI agents and intelligent workflows that transforms complex, multi-step business processes and deliver quantifiable business outcomes Partner with business leaders and stakeholders across multiple departments to identify high-impact AI opportunities that align with organizational objectives Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions Build compelling business cases that clearly articulate ROI, implementation costs, benefits, timelines, and strategic alignment Evaluate, recommend, and implement AI solutions that best fit organizational needs and use cases Design solutions with an AI-first approach, ensuring optimal value delivery and user experience Monitor and measure the performance of AI workflows, using data-driven insights to demonstrate value and drive continuous improvement Design and deliver training programs, workshops, office hours, and enablement materials that help teams understand and adopt agentic solution Create frameworks, best practices, templates, and reusable patterns that accelerate AI adoption and ensure consistent quality Build a community of practice around AI and intelligent agents, empowering others to identify opportunities and contribute to the agentic roadmap Act as

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Identity & Integrity organization is looking for software engineers. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched and safe. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Software Engineer in the Identity team, your primary responsibilities will encompass: Lyft’s Login & Signup Experiences: Design and enhancement of our Multi-factor authentication (MFA) experiences. Optimization of verification funnels, including: Phone-based two-factor authentication (2FA) Email verification Identity provider single sign-ons (SSO) Overseeing session management and device validation. Developing OAuth client provisioning and related tooling. Account Security: Act as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities. Implement strategies to counteract risks posed by social engineering tactics. Scaling Core Services: Lead the maintenance and optimization of core microservices under the Identity team's purview, essential to Lyft’s diverse service offerings. Manage organizational structures and multi-user management systems. (RBAC, family accounts, AuthZ) Design solutions for high-stakes challenges such as: Preventing unauthorized driving. Thwarting abuse related to recycled phones and their numbers. Striking a balance between stringent customer verification and ensuring minimal user friction. Responsibilities Write well-crafted, well-tested, readable, maintainable code Promote appropriate tech and engineering best practices Implement identity and security protocols to se

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. Flexdrive builds the operational backbone for the future of mobility. As a leader in fleet management and a Lyft subsidiary, we're extending our expertise into autonomous vehicle (AV) infrastructure — managing the physical operations that keep AV fleets safe, available, and performing at scale. Our Nashville depot is the first proof point in a multi-market expansion, and we're building the leadership team to sustain and scale it. Reporting to the Senior Manager, AV Operations you'll be instrumental in owning and evolving the operational playbooks for our AV operations. You'll act as the primary operational leader , responsible for creating the strategic framework, executing complex projects, and ensuring the seamless functioning of our AV support infrastructure in close partnership with our AV technology partners. This role is for a hands-on leader with a unique blend of strategic foresight, project management excellence, and deep operational knowledge within the AV or complex fleet management space. If you thrive in ambiguous environments, are adept at building from the ground up, and possess the business acumen to drive efficiency and scalability, enabling our AV operations to thrive, we encourage you to apply. Responsibilities: Execution & Site Management Daily Operational Execution: Lead the day-to-day execution of critical operational systems and processes for our 24/7 AV fleet management operations, including depot layout adherence, vehicle flow (charging, cleaning, maintenance, staging, diagnostics), parts management, and data handling. Operational Resource Management: Manage operational resources (equipment, technology, consumables, staffing) efficiently on a daily basis to ens

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales