Assistant Manager Sales Capital Products Heat Exchangers North Region in India

... Facility: MAYO COLLEGE AJMER- FS Qualification: 10th Job Code: IJP560850 | Source: Sodexo India

... Facility: Thiagarajar College of Eng Madurai Job Code: IJP563795 | Source: Sodexo India

... Facility: ALSTOM TRANSPORT FM - AP Qualification: Graduate Job Code: IJP563654 | Source: Sodexo India

... Facility: CHENNAI DISTRIBUTION CENTRE FS Qualification: 12th Job Code: IJP566128 | Source: Sodexo India

... Address: 14 2 Samarth Nagar Ramtekdi Industrial Area Hadapsar Pune Maharashtra 411013. Facility: CPU PUNE Qualification: Graduate Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP566941

... Address: Gujarat Adani Institute of Medical SciencesG K General Hospital,Bhuj. KUTCH. Facility: GUJARAT ADANI INSTIT OF MEDICAL SCIENCES Qualification: 10th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP568605

... Address: Gujarat Adani Institute of Medical SciencesG K General Hospital,Bhuj. KUTCH. Facility: GUJARAT ADANI INSTIT OF MEDICAL SCIENCES Qualification: 10th Experience: 1 - 2 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP567093

OPENING: Welder (All Type) Heavy Vehicle Drivers Crane Operator Forklift Operator Engineers (Software/Hardware/Network) Admin Accountant Data Entry Computer Operator Supervisor Quality Analyst Diploma Holder Machine Operator Apart from the above mention openings we have other positions available for skilled & unskilled workers. Person who holds valid Indian Passport can apply

Singapore SP: Cleaner in a reputed Hospital (10 NOS Each) (Female & Male Both) Qualification: BA Pass (No Experience Required) Age: 21 to 25 Years (1995, 1996, 1997, 1998, 1999 born only) Salary: S$2200 (INR 1,10,000) for 9 hrs + OT for 3 hrs S$800 (INR40,000) + No Accommodation + No Food Processing Time: 15 to 20 days Ref # 5 Singapore SP: Mechanical & Electrical Engineers (Fresher) (10 NOS Each) Qualification: B.Tech in Mechanical & Electrical (No Experience Required, but Lift knowledge would be an advantage) Age: 21 to 27 Years (1993, 1994, 1995, 1996, 1997, 1998, 1999 born only) Salary: S$2300 (INR 1,15,000) for 10 hrs + OT for 2 hrs S$600 (INR30,000) + No Accommodation + No Food Processing Time: 15 to 20 days Ref # 5 Singapore SP: Software Engineer/Developer (10 NOS) Qualification: Bachelor Degree in IT / Computer Age: 24 to 37 Years Salary: S$1800 (INR 90,000) + Free Accommodation Working Hours: 10 Hours Processing Time: 30 Days Ref # 4.5 Singapore SP: Accountant (M/F), Receptionist (Female), Beautician (Female) (10 NOS) Qualification: BA / Bachelor Degree Age: 24 to 37 Years Salary: S$1200 (INR 60,000) + Free Food & Accommodation Working Hours: 12 Hours Processing Time: 30 Days Ref # 4.5 Singapore WP: Construction & Shipyard Helpers (10 Nos each) ! Fresh Candidates ! No Need of any skill certificate ! PCM WP ! Qualification: 10th Age: 21-35 Years Salary: S$18 for 8 hrs + OT 4 hrs approx. S$820 (INR 42,500/-) for 12 hrs Free Accommodation & Coking Appliances Processing Time: 30 Days Ref # 3.5 1. CIVIL ENGINEER OR SITE SUPERVISOR - O5 NOS - VISA - S PASS - SALARY - 1500 $ - 2200 $SGD 2. ELECTRICAL ENGINEER OR SUPERVISOR - O7 NOS - VISA - S PASS - SALARY - 1700 $ - 2200 $SGD 3. STORE KEEPER OR STORE IN-CHARGE - O3 NOS - VISA - S PASS - SALARY - 1400 $ - 2200 $SGD 4. WAREHOUSE IN-CHARGE - O2 NOS - VISA - S PASS - SALARY - 1600 $ - 2200 $SGD 5. MECHANICAL ENGINEERS - O5 NOS - VISA - S PASS - SALARY - 1800 $ - 2200 $SGD 6. COMPUTER OPERAT

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. We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. What is the AI resident/Data Resident program? A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises. Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections. Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners. At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema. We envision this program as a launchpad for future AI/Data leaders of our company. Who is eligible for this

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. The Role We are hiring an experienced Enterprise Business Development Representative (BDR) to own strategic account development and generate high-quality sales qualified leads (SQLs) with senior enterprise stakeholders. This is a high-impact, outbound-focused role built for someone who knows how to break into complex accounts, build credibility with executives, and create a real pipeline — not just activity. You will operate at the center of Ema's go-to-market motion, partnering closely with Sales and Marketing to build repeatable enterprise pipeline generation. This role supports the US market and requires working US business hours. What You'll Do Own outbound prospecting including defining your set of target enterprise accounts Identify, engage, and qualify Directors, VPs, and C-level decision-makers at $1B+ revenue organizations Develop account entry strategies and multi-thread across buying committees Drive prospects from cold outreach through qualification to booked SQLs using multiple channels (email, cold calls, LinkedIn) Partner with Account Executives to ensure strong handoff and pipeline conversion Own your book of business — know your metrics, your pipeline value, and yo

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

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 We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and