Software Engineer in India

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary The Workplace Coordinator is responsible for the day-to-day operation and maintenance of workplace infrastructure, ensuring that all building systems operate efficiently, safely, and reliably. This role oversees HVAC systems, including chillers and AHUs, Building Management Systems (BMS), electrical panels, and coordinates preventive and corrective maintenance activities to support uninterrupted business operations. Key Responsibilities Technical Operations · Monitor and maintain HVAC systems including Chillers, AHUs, FCUs, and ventilation systems. · Operate and monitor Building Management System (BMS) for alarms, trends, and equipment performance. · Inspect electrical LT panels, UPS systems, DG synchronization (if applicable), and power distribution systems. · Monitor critical utilities including temperature, humidity, pressure, and energy consumption. · Ensure uninterrupted operation of critical infrastructure and respond promptly to system failures. Preventive & Corrective Maintenance · Plan and execute preventive maintenance schedules for HVAC and electrical systems. · Coordinate breakdown maintenance with

Opportunity Overview: We are seeking an experienced and driven Sr. Technical Talent Acquisition Partner to join our Talent Acquisition team and spearhead hiring initiatives for our Healthcare Technology organization. The ideal candidate will have strong technical hiring expertise, a deep understanding of engineering roles (e.g., software development, data engineering, cybersecurity, cloud, etc.), and a passion for healthcare innovation. In this role, you will lead strategic hiring efforts, partner closely with business leaders to attract top-tier engineering talent aligned with the evolving needs of the healthcare tech landscape. You will play a key role in scaling high-performing technology teams that are building transformative healthcare solutions. What you’ll do: Recruitment: Lead and own the end-to-end recruitment lifecycle from sourcing, screening, and interviewing to offer negotiation and onboarding for critical IT roles across domains like software engineering, data science, cloud, DevOps, cybersecurity, and healthcare IT systems. Assess candidates for both technical and cultural fit; conduct initial technical interviews when appropriate. Drive diversity, equity, and inclusion (DEI) in hiring initiatives. Stakeholder Management: Serve as the primary point of contact for senior-level hiring, workforce planning, and executive recruitment. Partner with business, HRBPs, and leadership to forecast talent needs and develop proactive sourcing strategies. Collaborate with global TA and business teams on talent pipeline planning and role prioritization. Sourcing & Market Intelligence: Design and execute advanced sourcing strategies across platforms, leveraging multiple sourcing channels including job boards, LinkedIn, employee referrals, campus outreach, and recruitment agencies. Employer branding: Represent the company at tech events, career fairs, and employer branding campaigns to attract top talent. Conduct regular market mapping and talent intelligence repor

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment. Key Responsibilities Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition). Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing. Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors. Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible. Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization. Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing. Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement. Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow). Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps. Required Qualifications 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production. Strong programming skills in Python (required) and/or TypeScript/Node.js. H

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions . This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams . In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact What you’ll do: Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement. Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration. Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock. Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams. Conduct code reviews, pr

As a Senior Technical Program Manager at NVIDIA you will act as the bridge between strategy, execution, and technical alignment, driving complex programs end-to-end. This role demands strong technical acumen, exceptional program management skills, and the ability to influence without authority across a dynamic, matrixed organization. You will collaborate across software engineering, product management, OEMs and other teams to deliver solutions that shape the future of accelerated computing, with focus on Multimedia technologies (audio and video). What you’ll be doing: Program Ownership. Lead multimedia programs from inception to delivery, ensuring timelines, milestones, and quality standards are met. Manage release checklists, post-release feedback, and continuous improvement initiatives. Maintain and continuously improve program plans; ensure project focus and execution against commitments. Create and maintain metrics that track execution effectiveness and program health. Technical Leadership: Deep dive into product architecture and design; maintain curiosity and technical proficiency. Collaborate with engineering teams to resolve technical challenges and optimize solutions. Stakeholder Management: Communicate decisions, progress, and risks clearly to stakeholders, customers at all levels. Build trust and influence across cross-functional teams. Strategic Thinking & Risk Management: Identify and mitigate risks proactively to prevent delays and cost overruns. Drive RCCA (Root Cause and Corrective Action) and ensure gaps are closed effectively. Communication & Information Management: Deliver precise, tailored information for diverse audiences and higher management. Consume complex data and bring clarity to discussions for actionable outcomes. Complex programs with sign

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

Data & AI Lead will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. By working closely with business leaders, Business Technology, Software Engineering, Architecture, IT, and Cybersecurity teams, Data & AI role translate business problems into analytical and AI use cases, develop scalable and responsible AI solutions, and ensure adoption through explainability, trust, and governance. This role plays a critical role in institutionalizing data driven culture, embedding AI into core processes, and enabling faster, better, and more consistent decisions at scale. Source: Adani Group | Job ID: 52726

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

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 “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compress

About the Team Product Management in Meesho closely resembles our rocketship growth. Because we obsess over understanding customer behaviour, we’ve been able to carve out an e-commerce niche in Tier 2/3/4 towns in Bharat. Our business growth is testimony to a singular focus on how we think of ‘product’ for our unique customers - ones that have barely shopped online, but are now able to because of Meesho. Fun fact: Nearly 7% of India’s households shop with us. 😉 We are driven by a ‘user-first’ mindset. We have a strong bias for action. Above all, our team is driven by impact, not features. We drive ‘problem discovery’ & delivery - not only obsess over “what to build”, but execute with rigour to create impact. But there’s more – we love to have fun as much as we love to work hard. From movie buffs to sportspersons, we have a super cool team. So, if a game of badminton after a day of brainstorming at work sounds like something you would love to do, then join us! About the Role We are looking for a Product Manager I who is passionate about solving high-impact problems in a fast-paced start-up environment with a high degree of autonomy. This is inherently a cross-functional leadership role where you will work closely with teams such as software engineering, UX design, category management, marketing, operations, finance, etc. to bring a new product to life. What you will do Analysis, customer interviews, user research, competition analysis and other qualitative/quantitative techniques. Problem Identification & Prioritization: Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks. Prioritize what problems need to be solved now vs. later. Solution Discovery: Facilitate a process to come up with the best technology-led ideas to solve the prioritised problems. Harness the creativity of not just yourself but of other teams such as design, engineering., business, etc Be willing to

mthree Gradate Recruitment Program: Tech Roles About Us: mthree gives you a foot in the door to your dream career! We’ve helped 4,000 people start careers in technology, banking and business. For graduates and anyone starting their career, you’ll start with 6-12 weeks of training at our Academy. Then you’ll join one of our clients for 12-24 months (we work with investment banks and other big companies in industries from healthcare to aviation to insurance). You’re supported by us throughout, with pay rises every 12 months and an online learning plan to develop your skills. Afterwards, the majority continue their career with the client. At mthree, we believe in fairness from the start. We don’t lock you in with exit fees. You’ll never have to pay a thing. Join mthree to unlock your potential and go further than you thought possible. What you’ll do: If successful, you’ll work with one of our clients as an mthree Alumni designing, building, testing, and maintaining scalable and stable off-the-shelf applications or custom-built technology solutions. Also, working with a global team, you’ll help support systems including algorithmic trading engines and regulatory reporting. What you need: Degree in Computer Science, Technology, or related STEM subjects Academic aggregate of 60% or higher with no standing arrear Strong programming skills: Java/ Python/ C/ C++/ Others Competitive coding experience will be an added advantage Good troubleshooting and debugging skills Solid software engineering principles (data structures, OOPs, design patterns, multithreading) Understanding of the formal software development lifecycle (SDLC) Understanding of test-driven development How it works: Stage 1: Apply for the position Stage 2: Clear the first round of Aptitude & Coding assessment Stage 3: Clear communication Screening Stage 4: Clear Technical interview Stage 5: Clear Final interview Stage 6: Get selected to join the train

mthree Gradate Recruitment Program: Tech Roles About Us: mthree gives you a foot in the door to your dream career! We’ve helped 4,000 people start careers in technology, banking and business. For graduates and anyone starting their career, you’ll start with 6-12 weeks of training at our Academy. Then you’ll join one of our clients for 12-24 months (we work with investment banks and other big companies in industries from healthcare to aviation to insurance). You’re supported by us throughout, with pay rises every 12 months and an online learning plan to develop your skills. Afterwards, the majority continue their career with the client. At mthree, we believe in fairness from the start. We don’t lock you in with exit fees. You’ll never have to pay a thing. Join mthree to unlock your potential and go further than you thought possible. What you’ll do: If successful, you’ll work with one of our clients as an mthree Alumni designing, building, testing, and maintaining scalable and stable off-the-shelf applications or custom-built technology solutions. Also, working with a global team, you’ll help support systems including algorithmic trading engines and regulatory reporting. What you need: Degree in Computer Science, Technology, or related STEM subjects Academic aggregate of 60% or higher with no standing arrear Strong programming skills: Java/ Python/ C/ C++/ Others Competitive coding experience will be an added advantage Good troubleshooting and debugging skills Solid software engineering principles (data structures, OOPs, design patterns, multithreading) Understanding of the formal software development lifecycle (SDLC) Understanding of test-driven development How it works: Stage 1: Apply for the position Stage 2: Clear the first round of Aptitude & Coding assessment Stage 3: Clear communication Screening Stage 4: Clear Technical interview Stage 5: Clear Final interview Stage 6: Get selected to join the train

mthree Gradate Recruitment Program: Tech Roles About Us: mthree gives you a foot in the door to your dream career! We’ve helped 4,000 people start careers in technology, banking and business. For graduates and anyone starting their career, you’ll start with 6-12 weeks of training at our Academy. Then you’ll join one of our clients for 12-24 months (we work with investment banks and other big companies in industries from healthcare to aviation to insurance). You’re supported by us throughout, with pay rises every 12 months and an online learning plan to develop your skills. Afterwards, the majority continue their career with the client. At mthree, we believe in fairness from the start. We don’t lock you in with exit fees. You’ll never have to pay a thing. Join mthree to unlock your potential and go further than you thought possible. What you’ll do: If successful, you’ll work with one of our clients as an mthree Alumni designing, building, testing, and maintaining scalable and stable off-the-shelf applications or custom-built technology solutions. Also, working with a global team, you’ll help support systems including algorithmic trading engines and regulatory reporting. What you need: Degree in Computer Science, Technology, or related STEM subjects Academic aggregate of 60% or higher with no standing arrear Strong programming skills: Java/ Python/ C/ C++/ Others Competitive coding experience will be an added advantage Good troubleshooting and debugging skills Solid software engineering principles (data structures, OOPs, design patterns, multithreading) Understanding of the formal software development lifecycle (SDLC) Understanding of test-driven development How it works: Stage 1: Apply for the position Stage 2: Clear the first round of Aptitude & Coding assessment Stage 3: Clear communication Screening Stage 4: Clear Technical interview Stage 5: Clear Final interview Stage 6: Get selected to join the train

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for an experienced Talent Researcher to join our TA team. In this role, you will be responsible for driving the top-of-funnel sourcing efforts to build a strong talent pipeline for technical functions based out of the US. You will partner with recruiters, hiring managers, and business leaders to create and execute targeted sourcing strategies that attract diverse, high-caliber talent across key roles. What You’ll Do Lead proactive sourcing efforts for key technical and business roles, including Software Engineers, Product roles, and other critical functions across different teams. Partner with hiring teams to understand role requirements and team culture, ensuring sourcing strategies align with business needs. Map talent across our target companies in specific geographies and come up with clever ways to engage them. Utilize a variety of sourcing channels (LinkedIn Recruiter, GitHub, Stack Overflow, Boolean search, events, networking) to engage and attract passive candidates. Develop and maintain a strong pipeline of talent, focusing on both current and future hiring needs. Conduct initial candid