Assistant Manager Mine Operation in Bengaluru

... Address: 5C/1 KIADB Industrial Area Attibele Attibele Industrial Area Itchangur Karnataka Facility: Schneider Electric IT Business-FS B& 39 lore Qualification: Not Specified Experience: 3 - 6 years Source: Sodexo India | Job Code: IJP571085

... Address: Dr. Vishnuvardhana Road, Post, Channasandra, RR Nagar, Bengaluru-560098 Facility: R N SHETTY INSTITUTE OF TECHNOLOGY Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP571679

... Address: Denso Kirloskar, 30th K.M.Stone,Tumkur Road-NH 4,Vishweshwarapura,Nelamangala,Bangalore Rural Dist-562123 Facility: DENSO KIRLOSKAR INDUSTRY - KA Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP571713

... Address: Kirloskar Toyota Textile Machinery Pvt. Ltd, Plot 10/13, Phase II Jigani Industrial Area, Jigani, Bengaluru, Karnataka 560105 Facility: TOYOTA INDUSTRIES ENGINE INDIA - B'LORE Qualification: 10th Experience: 4 - 5 years Source: Sodexo India | Job Code: IJP570705

... Address: JSW Paints Pvt. Ltd., PO Vidyanagar,Village-Toranagallu,Vidyanagar, Bellary-Karnataka Facility: JSW PAINTS FS - BELLARY KA Qualification: Diploma Experience: 1 - 2 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP570190

... Address: Jain Global Campus NH-209 Kanakapura Road, Jakkasandra Post, Bengaluru Facility: SCHOOL OF ENGG & TECHNOLOGY - MOJO Qualification: 12th Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP568651

... Address: Jain Heritage School Hanuman Temple Road, Hebbal Kempapura, Bengaluru, Karnataka 560024 Facility: JAIN HERITAGE SCHOOL HEBBAL Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP568443

... Address: Kirloskar Toyota Textile Machinery Pvt. Ltd, Plot 10/13, Phase II Jigani Industrial Area, Jigani, Bengaluru, Karnataka 560105 Facility: KIRLOSKAR TOYOTA TEXTILE MACH PVT LTD Qualification: 10th Experience: 5 - 6 years Source: Sodexo India | Job Code: IJP567181

... Address: Rga Tech Park Utc Eco Energy 47 Maria Nagar Hadosiddapura Chikkakannalli Bengaluru Karnataka 560035. Facility: UBER INDIA SYSTEMS - FS BANAGLORE Qualification: Not Specified Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP567898

... Address: Volvo Buses (I) Pvt Ltd, Yalachahally, Tavarekere PO, Hosakote, Bangalore-562122 Facility: VE COMMERCIAL VEHICLES LIMITED Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP565757

... Address: JSW Paints Pvt. Ltd., PO Vidyanagar,Village-Toranagallu,Vidyanagar, Bellary-Karnataka Facility: JSW PAINTS FS - BELLARY KA Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567015

... Address: RMZ Eco world, Campus 31, 10th Floor, Unit 1001 & 1004, Sarjapur outer ring road, Deverabeesanahalli Village, Varthur Hobli,, RMZ Eco world, Campus 31, 10th Floor, Unit 1001 & 1004, Sarjapur outer ring road, Deverabeesanahalli Village, Varthur Hobli,, RMZ Eco world, Campus 31, 10th Floor, Unit 1001 & 1004, Sarjapur outer ring road, Deverabeesanahalli Village, Varthur Hobli, Facility: GSK HALEON - IFM SERVICES B'LORE Qualification: Graduate Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP535112

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Platform Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning/sharding strat

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Join Ema Unlimited, a pioneering company at the forefront of Generative AI technology. We are seeking a talented Product Designer to contribute to the development of Ema, our Universal AI Employee. In this role, you will design user experiences that simplify complex workflows and enhance productivity for enterprises globally. About Ema Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational