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Job Description Job Purpose At ICE, we are on a mission as a team. We are problem solvers and partners, always starting with our customers’ needs, working to solve their challenges and create opportunities. Our start-up roots are ingrained on our corporate culture - nimble, flexible and fast moving. We take ownership and make decisions. We all work for one company and work together to drive growth across the business. We take pride in what we do, acting with integrity and passion, driving continuous improvement so our customers can perform better. We are experts and enthusiasts - combining ever-expanding knowledge with leading technology to consistently deliver results, solutions and opportunities for our customers and stakeholders. Every day we work toward transforming global markets. ICE Data Services is seeking a dynamic Application Support Specialist to join our Hyderabad based team. This client-facing position entails assisting with deployments, configurations and management of our mission critical software. The successful candidate will possess a natural disposition towards customer service and demonstrate a strong aptitude for technical troubleshooting, along with a general knowledge of IT and financial markets. In this role, you will represent ICE Data Services while collaborating with internal stakeholders, providing continuous support to the clients and manage ICE’s data feed infrastructure. This position offers the opportunity to acquire in-depth technical knowledge of premier market data solutions and offers exposure to the finance and technology business sector. Responsibilities Must be prepared to work during non-standard working hours including weekends to support global stakeholders and clients. Configuring, installing, and testing ICE server software. Research, diagnose problems and communicate solutions to internal stakeholders and clients. Maintain regular contact with internal stakeholders to ensure we provide exceptional customer support. Ownership for issues, show empathy, and regular status updates of all open requests. Provide exceptional customer service by resolving client enquiries by email, phone, and web chat. Troubleshoot technical issues within our data distribution system. Typical technical inquiries include resolving client disconnections, investigating network drops, analyzing market data delays/latency, and answering API usage questions. Lead regular support calls and ad-hoc escalations with internal stakeholders. Develop a deep understanding of ICE Data Services products, IT architecture and customer base. Knowledge And Experience BCA / MCA / BCS / MCS / BE / B. Tech / Any other bachelor’s or master’s degree in computers and technology. 3+ years of relevant experience. Knowledge of Unix, Linux, Unix power tools, Unix scripting, Networks and core computing concepts. Troubleshooting and problem solving. Experience in a client-facing role handling high-stakes issues that require accuracy, and tact is an added advantage. Commitment to customer service excellence, characterized by helpfulness, reliability, attention to detail, and professionalism. Excellent communication skills, both written and oral, capable of effectively engaging with diverse audiences and contexts (e.g., internal vs. external, trading clients vs. data analytics firms). Natural aptitude for analysis and technical troubleshooting, demonstrating logical thinking and a methodical approach to problem-solving. Excellent organizational skills to effectively manage workload and handle multiple assignments in parallel.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Responsibilities: Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Design and Implement test strategy, test plan, test cases, test automation and execution. Focus on validating the functionality, performance and reliability of AI/ML models. Evaluate various aspects of AI/ML models, including functionality, performance, accuracy, bias, robustness and safety. Track model performance, identify issues and provide regular reports on quality and reliability Craft and refine the prompts or instructions to guide, develop the Generative AI models Strive for self-excellence along with enabling success of the team/stakeholders. Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Blend of software testing experience with strong knowledge of AI/ML concepts, tools, frameworks. Strong understanding of Generative AI model algorithms, training and deployment processes. Experience in evaluating model performance using metrics like Accuracy, Precision, Recall, F1-Score, Latency, Stress etc Experience in prompt engineering and assessing models for bias, fairness and ethical concerns. Experience in validating data quality and integrate throughout the model development lifecycle. Experience in crafting and refining prompts to guide Large Language Models (LLM) and Small Language Models (SLM) Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFLow etc. Experience in integrating testing processes into CI/CD pipelines. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Job Description Designation and SRF Name- Technical CX Consultant role Role- Permanent/ Full time Panel and Hiring Manager- Sanjay Pathak Experience- 8-12 years relevant experience Location- Noida/ Gurgaon/ Pune/ Bangalore Shift- 12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies) Working Days- 5 days Work Mode- Hybrid Job Description: Highly skilled CX Consulting with deep expertise in CCaasS, Integrations, IVR, Natural Language Processing (NLP), Language Models, and scalable cloud-based solution deployment. Skills Technical Expertise: Having a deep understanding of Conversational AI, Smart Agent Assist, CCaaS and their technical capabilities. Stay current with industry trends, emerging technologies, and competitor offerings. Customer Engagement: Engage with prospective clients to understand their technical requirements and business challenges. Conduct needs assessments and provide tailored technical solutions. Solution Demonstrations: Deliver compelling product demonstrations that showcase the features and benefits of our solutions. Customize demonstrations to align with the specific needs and use cases of potential customers. Strong NLP and Language Model fundamentals (e.g., transformer architectures, embeddings, tokenization, fine-tuning). Expert in Python, with clean, modular, and scalable coding practices. Experience developing and deploying solutions on Azure, AWS, or Google Cloud Platform. Familiarity with Vertex AI, including Model Registry, Pipelines, and RAG integrations (preferred). Experience with PyTorch, including model training, evaluation, and serving. Knowledge of GPU-based inferencing (e.g., ONNX, Torch Script, Triton Inference Server). Understanding of ML lifecycle management, including MLOps best practices. Experience with containerization (Docker) and orchestration tools (e.g., Kubernetes). Exposure to REST APIs, gRPC, and real-time data pipelines is a plus. Degree in Computer Science, Mathematics, Computational Linguistics, AI, ML or similar field. PhD is a plus. Responsibilities Consulting and design end-to-end AI solutions for CX. Consulting engagement of scalable AI services on cloud infrastructure (Azure/AWS/GCP). Collaborate with engineering, product, and data teams to define AI-driven features and solutions. Optimize model performance, scalability, and cost across CPU and GPU environments. Ensure reliable model serving with a focus on low-latency, high-throughput inferencing. Keep abreast of the latest advancements in NLP, LLMs, and AI infrastructure.

We are looking for a Senior Performance Analyst to enhance our performance testing capabilities. As a Senior Performance Analyst, you will play a crucial role in designing and executing performance tests. You will collaborate with cross-functional teams to optimize performance and drive the resolution of issues. Your insights will help shape our technology landscape and prepare us for future growth. If you are passionate about performance testing and eager to take on new challenges, we encourage you to apply. Responsibilities Design, configure, and execute performance tests and drive resolution of failures Create performance measurements such as requests per second, P95 and P99 response latency, query performance, concurrency, and system utilization Dig into Java code, databases, middleware, and vendor software to identify performance bottlenecks and resolve them Improve the performance environment with your own code, automation, and external tools Utilize technical expertise to coach and develop junior engineers Deliver presentations to stakeholders sharing results and insights Requirements 5-10 years of experience in performance testing Strong software engineering background with Java Spring Boot framework Experience debugging performance issues using APM tools (e.g., Dynatrace, Splunk, JProfiler, and JMH) Proficiency in optimizing database queries in PostgreSQL and Oracle Capability to write jMeter scripts and utilize load generation tools like BlazeMeter Background in the Payments industry, including familiarity with ISO 8583 messaging, the 4-party model, and payment applications Systematic problem-solving approach coupled with strong organizational and communication skills Self-motivation with a high level of attention to detail and the ability to work independently with minimal supervision Capability to manage time and projects effectively, share knowledge with peers, and adapt to new learning opportunities Demonstrated appetite for innovation and adaptability to changing technologies, practices, and operational challenges Nice to have Certifications in performance testing methodologies Experience with additional performance testing tools

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 Senior Software Engineer Overview This contractor position is on Mastercard’s performance engineering team working closely with the other Authorization development teams. You will have the chance to use and improve a suite of tools to assess transaction time each release. We are looking for engineers that are passionate about performance and development with a constant focus on improving quality. All About You Have you created many scripts to automate and interface with programs (i.e. shell script, TCL, Perl, Python)? Do you understand throughput, latency, memory, and CPU utilization? Have you spent significant time in Linux environments with some experience administrating? Have you developed software before – preferably in C/C++? Do you know about different inter-process communications (i.e. shared memory, MQ, Kafka)? Do you have experience and prefer working in an Agile environment? Have you worked with big, real-time, and distributed systems? Design, configure, and execute performance tests Work closely with software development teams to identify risks and anticipate problems to ensure that each release does not negatively impact performance Improve the current performance environment with your own code, automation, and onboarding of external tools (i.e. Dynatrace and Splunk) Drive performance issues to resolution Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252723

We are looking for a Senior Performance Analyst to enhance our performance testing capabilities. As a Senior Performance Analyst, you will play a crucial role in designing and executing performance tests. You will collaborate with cross-functional teams to optimize performance and drive the resolution of issues. Your insights will help shape our technology landscape and prepare us for future growth. If you are passionate about performance testing and eager to take on new challenges, we encourage you to apply. Responsibilities Design, configure, and execute performance tests and drive resolution of failures Create performance measurements such as requests per second, P95 and P99 response latency, query performance, concurrency, and system utilization Dig into Java code, databases, middleware, and vendor software to identify performance bottlenecks and resolve them Improve the performance environment with your own code, automation, and external tools Utilize technical expertise to coach and develop junior engineers Deliver presentations to stakeholders sharing results and insights Requirements 5-10 years of experience in performance testing Strong software engineering background with Java Spring Boot framework Experience debugging performance issues using APM tools (e.g., Dynatrace, Splunk, JProfiler, and JMH) Proficiency in optimizing database queries in PostgreSQL and Oracle Capability to write jMeter scripts and utilize load generation tools like BlazeMeter Background in the Payments industry, including familiarity with ISO 8583 messaging, the 4-party model, and payment applications Systematic problem-solving approach coupled with strong organizational and communication skills Self-motivation with a high level of attention to detail and the ability to work independently with minimal supervision Capability to manage time and projects effectively, share knowledge with peers, and adapt to new learning opportunities Demonstrated appetite for innovation and adaptability to changing technologies, practices, and operational challenges Nice to have Certifications in performance testing methodologies Experience with additional performance testing tools

Role : Principal Kubernetes Infrastructure Engineer Duration : 6 months Work Mode : Remote Budget : 1.5 L PM Scope : We’re looking for a Rancher Kubernetes expert to lead the design, automation, and reliability of our on-prem and hybrid container platform. Sitting at the intersection of the Platform Engineering and Infrastructure Reliability teams, this role owns the lifecycle of Rancher-managed clusters—from bare-metal provisioning and performance tuning to observability, security, and automated operations. You’ll apply SRE principles to ensure high availability, scalability, and resilience across environments supporting mission-critical workloads. Core Responsibilities: Platform & Infrastructure Engineering Design, deploy, and maintain Rancher-managed Kubernetes clusters (RKE2/K3s) at enterprise scale. Architect highly available clusters integrated with on-prem infrastructure: UCS, VxLAN, storage, DNS, and load balancers. Lead Rancher Fleet implementations for GitOps-driven cluster and workload management. Performance Engineering & Optimization Tune clusters for high-performance workloads on bare-metal hardware , optimizing CPU, memory, and I/O paths. Align cluster scheduling and resource profiles with physical infrastructure topologies (NUMA, NICs, etc.). Optimize CNI, kubelet, and scheduler settings for low-latency, high-throughput applications. Security & Compliance Implement security-first Kubernetes patterns: RBAC, Pod Security Standards, network policies, and image validation. Drive left-shifted security using Terraform, Helm, and CI/CD pipelines; align to PCI, FIPS, and CIS benchmarks. Lead infrastructure risk reviews and implement guardrails for regulated environments. Automation & Tooling Build and maintain IaC stacks using Terraform, Helm, and Argo CD. Develop platform automation and observability tooling using Python or Go Ensure declarative management of infrastructure and applications through GitOps pipelines SRE & Observability. Apply SRE best practices for platform availability, capacity, latency, and incident response. Operate and tune Prometheus, Grafana, and ELK/EFK stacks for complete platform observability. Drive actionable alerting, automated recovery mechanisms, and clear operational documentation. Lead postmortems and drive systemic improvements to reduce MTTR and prevent recurrence. Required Skills · 7+ years in infrastructure, platform, or SRE roles · Deep hands-on experience with Rancher (RKE2/K3s) in production environments · Proficient with Terraform, Helm, Argo CD, Python, and/or Go · Demonstrated performance tuning in bare-metal Kubernetes environments (UCS, VxLAN, MetalLB) · Expert in Linux systems (systemd, networking, kernel tuning), Kubernetes internals, and container runtimes · Real-world application of SRE principles in high-stakes, always-on environments · Strong background operating Prometheus, Grafana, and Elasticsearch/Fluentd/Kibana (ELK/EFK) stacks Preferred Qualifications · Experience integrating Kubernetes with OpenStack and Magnum · Knowledge of Rancher add-ons: Fleet, Longhorn, CIS Scanning · Familiarity with compliance-driven infrastructure (PCI, FedRAMP, SOC2) · Certifications: CKA, CKS, or Rancher Kubernetes Administrator · Strategic thinker with strong technical judgment and execution ability · Calm and clear communicator, especially during incidents or reviews · Mentorship-oriented; supports team learning and cross-functional collaboration · Self-motivated, detail-oriented, and thrives in a fast-moving, ownership-driven culture

This role is for one of Weekday's clients Min Experience: 2 years Location: Remote (India) JobType: full-time Requirements About the role We are seeking a talented Gen AI Developer with at least 2 years of experience in NLP and Generative AI development. You'll work on building and enhancing AI-driven features - chatbots, QA agents, and smarter reporting assistants - using tools like LangGraph, LangChain, OpenAI, and Hugging Face. Experience in Django-based chatbot deployment and programmatic marketing is a strong plus. Responsibilities: Design, develop, and deploy NLP and generative AI models using LangGraph, LangChain, OpenAI GPT series, and Hugging Face Transformers Integrate AI workflows to power conversational agents for campaign QA, reporting prompts, and performance recommendations Collaborate with product and data teams to embed GenAI features into AtomicAds' core platform Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations Optimize AI pipelines for scalability, latency, reliability, and cost-efficiency Implement model monitoring and evaluation tools to ensure performance and fairness Ensure secure, compliant deployment of models and APIs Maintain clear documentation, testing strategies, and version control Requirements: Experience: Minimum 2 years in NLP and GenAI development Technical Skills: Proficient in Python, with deep experience in AI frameworks: LangGraph, LangChain, OpenAI API, Hugging Face. Hands-on experience building chatbot/service layers using Django or similar Python web frameworks AI Competency: Strong grasp of LLM architectures, prompt engineering, model fine-tuning, and evaluation Software Engineering: Demonstrated ability to write clean, modular, and testable code Collaboration and Communication: Ability to work in small teams, with clear written and verbal communication Bonus: Experience with programmatic advertising, DSPs, or marketing automation Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end-to-end, simplified solutions. The CISO organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Security boundaries have changed, and identity is the new perimeter. With such a shift, there is a strong emphasis on carefully analyzing, and in many cases, hitting Refresh on the components that comprise the enterprise identity and access management platforms as we know them. Microsoft is seeking an identity and security focused engineer to join the CISO organization as we undergo the journey to ensure that the right identities get access to the right resources at the right time, protected each step of the way. With your experience in Microsoft Entra ID and Identity & Access Management technologies, you will help steer our own identity-centric digital transformation and support hundreds of thousands of employees as they seek to empower every person on the planet to accomplish more. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Leverages end-to-end technical expertise in large-scale distributed systems' infrastructure, code, inter- and intra-service dependencies, and operations to enhance the reliability, performance, efficiency, latency, and scalability of services and products operating proactively and continuously at scale. Develops code, scripts, systems, and/or tools to automate complex and repetitive tasks, enhance operational efficiency. Empowers cross-service engineering teams to safely deploy changes to production at increased speed and monitors the effects of changes across systems, services, and products. Designs, implements, and manages Azure IAM solutions ensuring secure and efficient access to resources and applications. Develops IAM policies, procedures, and best practices aligned with organizational security requirements and compliance standards. Collaborates with internal stakeholders to translate business requirements into effective IAM solutions, providing engineering and operational support for a customer-centric Identity platform, with demonstrated expertise in Azure, Identity, and Access Management technologies, including SaaS, Single Sign-On, and Multifactor Authentication solutions. Partners with engineering teams and stakeholders understand requirements and translate them into actionable projects embodying SRE principles and efficient technical solutions. Qualifications 5 years of expert-level knowledge on identity technologies including Microsoft Entra IDAzure Active Directory, Active Directory, Federation Services, and Credential management, with proven experience in large-scale Identity management. Proven experience in automation using Azure technologies/platform and/or strong proficiency in PowerShell/Scripting. Experience in leveraging AI technologies to solve problems will be an added advantage, Demonstrated experience in supporting engineering and Multi-Factor Authentication, with a focus on maintaining Live Site operations and delivering exceptional customer service. Extensive troubleshooting and debugging experience, coupled with the ability to understand and reason about interactions between complex systems. Solid understanding of monitoring, alerting, and observability philosophies and best practices, along with the ability to analyze, decompose, design, and integrate systems or system architectures. Collaborative mindset with the ability to exercise cross-team cooperation and influence, while maintaining empathy for customers and partners and keeping a higher-level perspective. Familiarity with Agile, SDL & SRE principles, Phish resistant certificate-based authentication, and Microsoft Entra ID Multi-Factor Authentication solutions such as Microsoft Authenticator app, Windows Hello for Business, FIDO2 security key, OATH hardware/software token. Experience with Windows Conditional Access policies and multifactor authentication, the ability to analyze problems and make appropriate decisions quickly, drive large, complex programs and solutions, and possess excellent interpersonal and dynamic group skills, along with strong written & verbal communication and presentation abilities. Preferred Qualifications Familiarity with on-prem identity technologies like Active Directory, Microsoft Identity Manager (MIM), GPOs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Position Title:- Director – Technology Development Skills : Backend Development - Java Experience: Must have 13+ years of industry experience in building low-latency & highly scalable applications with efficiency at core Location: Gurgaon, Bangalore Education: B.E/B.Tech only from good pedigree About us: Nurtured from the seed of a single great idea - to empower the traveller - MakeMyTrip went on to pioneer India’s online travel industry Founded in the year 2000 by Deep Kalra, MakeMyTrip has since transformed how India travels. One of our most memorable moments has been to ring the bell at NASDAQ in 2010. Post-merger with the Ibibo group in 2017, we created a stronger identity and traction for our portfolio of brands, increasing the pace of product and technology innovations. Ranked amongst the LinkedIn Top 25 companies 2018. GO-MMT is the corporate entity of three giants in the Online Travel Industry—Goibibo, MakeMyTrip and RedBus. The GO-MMT family celebrates the compounded strengths of their brands. The group company is easily the most sought after corporate in the online travel industry. Role & Responsibilities: Own end to end full life cycle development and operations of highly scalable platforms/components. Architecting and scaling engineering platform to reduce technical debt and improve performance and agility. Experience with various technology stacks, including web application development, middleware, integration, enterprise architecture. Foster culture of innovation and fast execution, leading by example and hands-on execution. Build best in class data/machine learned algorithms and platforms for solving complex problems. Interface with business & product team to define requirements, deliverables, and provide the necessary engineering expertise & support to ensure on-time delivery of product. Be the technical owner for a set of highly scalable platform components (like Auth & Device-Master platform, AB Experimentation platform, Giftcard etc.,), micro services written in java, frontend applications ( mobile & web ), data related engineering initiatives and many more. Continue to develop and improve delivery processes. Commit to fostering a quality-focused development culture while leading managing a team of engineers, and QA. Lead the talent management effort for Technology, including hiring, developing, training and retaining a best in class team. Requirements: Should be a hands-on technology person with eye for details and scale. Ability to multi task in an ambiguous and very dynamic start-up environment. Must possess traits of thriving to work in a start-up environment. Must have experience in developing applications using multiple stacks. Must have experienced scale in building web applications and SOA (micro services) based large scale setups Proven experience in architecture, design and delivery of data & scale intensive applications. Should be good on coming up with high-level & low-level design for problem statement and defend on design & tech choices. Must have curiosity and passion to solve challenging problems and keeping customer centricity at core. Should have excellent prioritization and project management skills Sound knowledge and experience working in a variety of agile frameworks and project tools (e.g. Atlassian, git) Expert knowledge in language (Java) and web technologies (e.g. JavaScript, CSS, HTML). Experience with modern web UI frameworks (e.g. React, Angular) Experience leading a QA / testing function and developing automation techniques to improve ongoing quality of delivery Experience of building high throughput, low latency web-services over Strings and Binary Protocols. Expert level knowledge of Data Sources from RDBMS to NoSQL ( MySQL, Redis, MongoDB, Cassandra ) Strong knowledge of data structures and algorithms Expertise in Linux. Experience with architecting systems for AWS is a big plus. Experience with web paradigms such as REST, Responsive Web Design, Test-driven Development (TDD), Dependency Injection etc. Understanding of data engineering and machine learning is a plus. Leadership Experience: Strong people management skills – Ability to build high performing teams, mentoring team members, building a strong second line, ability to attract & retain talent. Need to have prior experience in managing team of 30+ people comprising of engineers, leads, engineering managers, etc.

Job Title - Associate Manager/Manager - Marketing & Communications Role Overview - Retention Marketing - Associate Manager / Manager to lead CRM growth across paid channels (SMS, WhatsApp, RCS, and more). This role is pivotal in driving both Visit and Revenue contributions during Sale and BAU (Business-as-Usual) periods, while also spearheading innovation, personalization, and experimentation across CRM touchpoints. The ideal candidate brings strong channel expertise, team management capability, vendor coordination experience, and a passion for driving customer engagement. Knowledge and Skill / Qualification Requirements ● Bachelor degree or PGDM/MBA is a preferred with 4–7 years of experience in Retention/CRM Marketing, ideally in a high-growth B2C or e-commerce environment. ● Strong hands-on knowledge of paid CRM channels: WhatsApp, SMS, RCS; knowledge of automation tools like MoEngage, Clevertap, etc. ● Experience managing a team and working cross-functionally with marketing, category, and product teams. ● Exposure to AI, personalization, or automation within CRM is a strong plus. ● Strong analytical mindset with experience in performance tracking, cohort analysis, and experimentation. Key Responsibilities 1. Revenue & Visit Growth via Paid CRM Channels • Own the performance and growth of CRM paid channels: WhatsApp, SMS, RCS, and future new channels. • Drive and achieve: o 50% growth during Sale Periods – Increase Visit contribution from 2.73% to 4.09%, and Revenue contribution from 4.06% to 6.09%. ▪ Key drivers: 55% growth in WhatsApp, 10% SMS, and 60% RCS. o 25% growth during BAU Periods – Increase Visit contribution from 1.86% to 2.33%, and Revenue contribution from 2.15% to 2.69%. ▪ Key drivers: 33% WhatsApp, 20% SMS, and 40% RCS. • Continuously optimize campaigns for higher engagement and ROI. 2. Team & Channel Ownership • Manage and mentor CRM team members, ensuring: o Balanced ownership of channels and goals across the team. o Active collaboration, transparency, and shared accountability. • Conduct regular working sessions to foster a high-performance and supportive team culture. 3. Vendor & Stakeholder Program Management • Build and manage strong relationships with external vendors to: o Enhance channel features, reduce latency, and optimize deliverability and costs. • Collaborate closely with internal stakeholders – Brand Managers, Category Managers, and Cross-functional teams – to: o Maximize CRM-led visibility and contribution to brand/category growth. o Align CRM efforts with business and marketing objectives. 4. Innovation via AI, Bots & Personalization • Identify and implement opportunities for: o AI-led automation in CRM workflows and campaign optimization. o Expansion of WhatsApp bots and integration of new customer-service touchpoints. o Personalized campaign journeys for users based on behavior, lifecycle, and preferences. • Drive innovation to elevate customer experience and retention impact. 5. Experimental Activations & IP Development • Conceptualize and execute innovative site activation strategies to boost visits and engagement. • Launch and own new CRM-led IPs (intellectual properties) and experiment-based activations. • Foster a test-and-learn environment that pushes creative and performance boundaries.

Job Description Who We Are At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. What We Do The Commodities business is extremely focused on digitization. This role provides many challenging and rewarding opportunities for the successful candidate. You will partner with engineers, traders, and salespeople to work on brand new projects focused on automation of sales and trading, quoting and trade booking workflows and data platform to systematically consume, ingest, process data and share actionable insights to enable trading decisions, with the latest full stack technologies, Java, Python and GS Proprietary technology (Slang / SecDB), and exposure to build cloud native apps on AWS and other cloud platforms. We are seeking a dynamic, entrepreneurial developer to join the Commodities Technology team and play a key role in execution of a wide range of development projects. Your Impact The team is looking to expand in Bengaluru to work on initiatives for building new and innovative solutions for global commodities trading business. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. You will work with some of the best minds in the industry and get an opportunity to interact with global teams to achieve common goals front to back. Basic Qualifications We are looking for a skilled back-end developer with strong communication skills to join our team and help work on key initiatives. We expect you to be a self-starter and eager to solve complex problems with guidance from global peers in the team. Our team promotes a culture of innovation and creative thinking to build modern robust systems. Effectively meeting the demands of our challenging mandate requires a passion for learning as well as deep understanding and experience across a wide array of technical competencies. Bachelor’s / Master’s degree in Computer Science or a closely related field 5-10+ years of experience with programming in any language Ability to quickly learn new languages and technologies Excellent written and verbal communication skills including experience speaking to global engineering and business audience Sound SDLC practices and ability to debug and troubleshoot problems Energetic, self-directed and self-motivated Preferred Qualifications Knowledge of Financial Services and markets are added advantage Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems . This role focuses on ASR , TTS , speaker diarization , wake word detection , and building production-grade modular audio processing pipelines to power next-generation contact centre solutions , intelligent voice agents , and telecom-grade audio systems . You will work at the intersection of deep learning , streaming infrastructure , and speech/NLP technology , creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper , wav2vec2.0 , Conformer ) for real-time transcription. Develop and finetune high-quality TTS systems using VITS , Tacotron , FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket , gRPC , Twilio Media Streams , or WebRTC . Integrate voice AI models into live voice agent solutions , IVR automation , and AI contact center platforms . Optimize for latency , concurrency , and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM , Opus , μ-law , AAC , MP3 ) and containers (e.g., WAV , MP4 ). Deep Learning & NLP Architecture: Utilize transformers , encoder-decoder models , GANs , VAEs , and diffusion models , for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR , TTS , diarization , codecs , streaming inference , and data augmentation . Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker , Kubernetes , cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX , TorchScript , and CUDA , including quantization , context-aware inference , model caching .  On device voice model deployment. Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Job Description Principal Software Development Engineer – Ticketing Platform Engineering At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really experienced, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. About Oracle Cloud Infrastructure (OCI) The next 5-10 years will see the software industry move from on-premises software solutions towards software delivery via cloud-based services. Oracle’s number one strength is the size and strength of our software portfolio to which most of the business world heavily uses. Our vision is to bring our customers to the Cloud. From our app server and development tools to our dataset and people management software, Oracle already has the core infrastructure that all of this is built on. The future is about providing higher level services that companies can consume on demand. Oracle is now recognized as a significant hyper-scale cloud provider offering hybrid capabilities, bridging the gap between on premise infrastructure and the Cloud to manage workloads in a secure, efficient, and cost-effective way. Who are we looking for? The Oracle ticketing Platform Engineering group is looking for a Principal Software Development Engineer with expertise and passion in building and growing services within large scale global cloud environment. Our mission is to provide critical tools and experiences to OCI operations and service teams across Oracle. This role will be responsible for designing, and implementing large, complex, and deeply integrated tooling services for Oracle Cloud Infrastructure. OCI is central to multiple businesses within Oracle, and cross organizational collaboration is common. We are looking for a deeply technical engineer that can thrive in this environment and provide designs and technical standards to implement large complex multi system integrations and platforms that will modernize how we do business as an Enterprise. We are looking for a candidate with a proven track record and the ability to lead execution while the product suite is growing and evolving. An innovator mentality is a must, the ability to roll up your sleeves and create designs, drive standards of implementation, create and streamline complex integration patterns, and write code are expected. You are the technical champion for our organization, and you will be responsible for creating our technical strategy for the ever-evolving product suite. You are a technology leader. You will influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of key timelines and service evolution. You will mentor and grow the technical talent within the organization, and you will ensure the technical roadmap is adhered to as we integrate our service across OCI. Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services for high availability that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities Minimum qualifications: 10+ years of experience architecting, designing, and implementing enterprise server-side Java application Proven success in building high-volume, low latency cloud services using latest cloud native capabilities, Java/J2EE technologies and open source frameworks 5+ years of experience working with leading cloud platforms such as OCI, AWS, Azure and managing service in production. Experience in Infrastructure as code tools like terraform and Ansible Proficiency in scripting languages such as Bash, Python, or PowerShell for automating tasks and managing infrastructure. Strong background on Linux Experience on Containerisation, Docker, Kubernetes Ability to work effectively in a collaborative, cross-functional team environment. Solid organization, communication and interpersonal skills Prior expertise in any ticketing system like Jira , Servicenow is added value . EDUCATION A Computer Science degree is preferred. An advanced degree is a plus. Career Level - IC4 Responsibilities Responsibilities Include: Work with senior architects and product management to define requirements Design and implement new features Define and guide engineering processes and procedures Review code written by your peers to ensure correctness and fit with the team's overall design principles Work with the team to operate services for high availability that host massive amounts of data Solid technically - You will build and improve component design/code for efficiency, performance, simplicity , scale and resiliency. Acumen for test coverage, observability, availability, durability Cloud Infra operations - LSE mitigation experience , CAPA, Observability improvements, Tooling Collaborate with the OCI Engineering communities About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Who We Are Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About The Role Motive Technologies is looking for an Engineering Manager, Software (Motive Card), who is passionate about building new product features for Motive Card for upmarket and enterprise fleets which includes Fraud Mitigation. We need an experienced and ambitious leader who can think architecturally, articulate a compelling long-term technical vision, develop and execute realistic implementation plans, and manage our Engineering team. Responsibilities Define and implement a technology vision for building new product features for fleet & driver safety. Manage the product and business outcomes of the engineering team. Develop a long-term product roadmap in collaboration with product teams Drive the execution, launch, and daily operations of functionalities for internal/external customers at consistently high quality, Introduce and continuously evolve cutting-edge development, release, and operations processes Develop, document, and improve best practices and coding standards Hire, manage, and develop a diverse team of highly qualified Engineers. This includes providing expert technical guidance, effective coaching and career development As needed, contribute to development tasks such as coding and feature verifications to assist teams with release commitments, to gain and deepen an understanding of our codebase and business processes Qualifications Bachelors or Masters in Engineering or equivalent experience 8+ years of experience in Software Engineering or related domains Has experience working in high-throughput and low-latency systems 3+ years of experience managing 10+ engineers 5+ years experience in building high-scale distributed systems for a product company Have technical depth and breadth in the following areas: agile product development, distributed systems, infrastructure, cloud computing, build tools, front-end engineering, mobile, QA. Ability to perform architectural work, including the development of technical designs and definition of requirements based on an explanation of business issues experienced by internal/external customers and vendors Proven track record as a nimble and proactive thinker and doer, who thrives in an environment that demands excellence A high degree of comfort with short release cycles, owning the full software lifecycle, and deep experience working on a product for public consumption Passion for continuous experimentation and learning, coupled with a desire to make things run faster, and better Demonstrated success in hiring, managing, motivating, and promoting skilled Engineers An opinion on and a solid understanding of what makes for a strong, healthy, and productive Engineering culture A track record as a strong individual contributor earlier in your career, with continued interest in rolling up your sleeves and pitch in with coding yourself when needed Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Nielsen is seeking an organized, detail-oriented, team player, to join the Engineering team in the role of Machine learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible for defining, developing, testing, analyze, and delivering technology solutions within Nielsen's Collections platforms. Qualifications Experience having led multiple projects leveraging LLMs, GenAI, and Prompt Engineering. Exposure to real-world MLOps deploying models into production adding features to products. Knowledge of working in a cloud environment. Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot. Bachelor's degree in Computer Science or equivalent degree. 4+ years of software experience Experience with Machine learning frameworks and models. The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place - and being responsible for the latency of the services. Data quality checks & onboarding the data onto the cloud for modeling purposes. Prompt Engineering, FT work, Evaluation, Data. End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, and Platform Engineering. Comfort in Python and Java is highly desirable. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Description Want to be a part of start-up environment within Amazon to design and build a new Fintech Payments product right from the scratch? Want to enable hundreds of millions of Amazon customers to shop on Amazon using next generation credit products? Want to be a part of the team that will enable you to deliver products handling highly sensitive customer data, at high traffic and minimum latency while handling cross-region calls if required? Want to be a part of the team that will enable you to learn latest technologies and skills relevant in the software development industry? Amazon India Emerging Payments team is looking for software developers who are passionate to design and build the next generation Payments product from the ground up. Once built this highly reliable and scalable product will provide a new payment gateway to hundreds of millions of Amazon India customers. The team will require learning and using latest AWS technologies including: AWS Dacia, AWS Kinesis, Lambda, SNS, SQS, Server side encryption on DynamoDB using client managed keys, API Gateways, AWS VPC, AWS NLB, Cloud trail, Elastic search, etc. Additionally the team also provide opportunities to learn and work on Machine learning, interacting and influencing Amazon third party partners like Banks and NBFCs. The platform will be designed to support other emerging economies having similar requirements and the role provides a huge opportunity for the developers to build a strong portfolio of patents for Amazon. Developers in the team need to have a strong understanding of computer fundamentals and preferably experience in building large scale distributed systems. Experience with web-based applications and/or web services-based applications, especially at massive scale, would also be helpful. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3006333

Job Description At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As Senior/Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth. As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (“Pod”) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. What you will do Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own the ML-Ops for your Pod. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards. Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems. Team Support: Mentor ML engineers to foster their personal growth. Qualifications How you will succeed in your role We’re looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some of the following. We’re working with every team member individually to grow according to their needs and abilities. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects to successful completion in agile environments Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. Technology Skills: LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral) Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools (e.g. Azure ML Studio, MLFlow) Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Intelligence: Document Processing and knowledge extraction tools Databases: Experience with relational (SQL), NoSQL databases Data Platforms: Familiarity with platforms like Snowflake or Databricks Additional Information What defines us : Curiosity, Optimism, Ambition, Empathy Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture. We are curious about other people and their motivations; about new business models and technologies; about each other and the future. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other's successes. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world. How we work as a team Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area. Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners. Who is Ramboll? Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential. And what does Ramboll Tech do? Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients. Our team currently has over 300 employees from Denmark, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe. Equality, Diversity, and Inclusion Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds and characteristics. Please let us know if there are any changes, we could make to the application process to make it more comfortable for you. You can contact us at [email protected] with such requests. Important information We do require a cover letter together with your current CV (preferably without a photo) through our application tool, and we're eager to get to know you better in a conversation. Do you have any questions? Feel free to contact the hiring team through our recruitment tool.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Nielsen is seeking an organized, detail-oriented, team player, to join the Engineering team in the role of Machine learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible for defining, developing, testing, analyze, and delivering technology solutions within Nielsen's Collections platforms. Qualifications Experience having led multiple projects leveraging LLMs, GenAI, and Prompt Engineering. Exposure to real-world MLOps deploying models into production adding features to products. Knowledge of working in a cloud environment. Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot. Bachelor's degree in Computer Science or equivalent degree. 4+ years of software experience Experience with Machine learning frameworks and models. The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place - and being responsible for the latency of the services. Data quality checks & onboarding the data onto the cloud for modeling purposes. Prompt Engineering, FT work, Evaluation, Data. End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, and Platform Engineering. Comfort in Python and Java is highly desirable. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Chief Technology Officer (CTO) – 1doc Location: Gurugram (India preferred) Type: Full-time | Leadership Role Experience: 8+ years in building scalable tech platforms or operating systems About 1doc OS 1doc OS is not just another software layer — it’s a complete healthcare infrastructure stack powering real-time care, identity-verified access, offline support, AI collaboration, and secure communication across 45+ apps within the 1doc ecosystem. What You’ll Own As CTO of 1doc OS, you will lead the architecture, engineering strategy, and execution of a cloud-first, identity-enforced, communication-enabled operating system for healthcare. You will be responsible for turning bold infrastructure vision into production-level systems. Key Responsibilities Own the technical roadmap and system architecture of 1doc OS Lead multi-layer integration across cloud, edge, IoT, and offline environments Drive system-wide security, identity enforcement, and zero-trust communication protocols Collaborate with AI, product, infra, and app teams to power 45+ connected applications Build and manage a world-class engineering team Ensure reliability, scalability, and low-latency performance across the ecosystem Oversee release cycles, deployment infrastructure, and long-term codebase sustainability Push the boundary on how healthcare infra should operate in developing nations and beyond You Should Have 8+ years of experience building large-scale platforms, OS-level systems, or infra stacks Proven leadership in shipping resilient, modular, and secure architectures Experience with cloud infra (GCP/AWS), real-time systems, APIs, and backend scalability Strong understanding of identity, encryption, and zero-trust systems Prior experience in healthcare, embedded, or multi-modal systems is a big plus Ability to lead deep tech innovation, not just manage tech debt Entrepreneurial mindset — willing to build from scratch and solve for real-world constraints Apply Now: hr@1doc.co Job Type: Permanent Pay: ₹100,000.00 - ₹346,244.30 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Overtime pay Performance bonus Yearly bonus Work Location: In person

Experience- 8+ years JD- We are seeking a skilled Snowflake Developer with 8+ years of experience in designing, developing, and optimizing Snowflake data solutions. The ideal candidate will have strong expertise in Snowflake SQL, ETL/ELT pipelines, and cloud data integration. This role involves building scalable data warehouses, implementing efficient data models, and ensuring high-performance data processing in Snowflake. Key Responsibilities 1. Snowflake Development & Optimization Design and develop Snowflake databases, schemas, tables, and views following best practices. Write complex SQL queries, stored procedures, and UDFs for data transformation. Optimize query performance using clustering, partitioning, and materialized views. Implement Snowflake features (Time Travel, Zero-Copy Cloning, Streams & Tasks). 2. Data Pipeline Development Build and maintain ETL/ELT pipelines using Snowflake, Snowpark, Python, or Spark. Integrate Snowflake with cloud storage (S3, Blob) and data ingestion tools (Snowpipe). Develop CDC (Change Data Capture) and real-time data processing solutions. 3. Data Modeling & Warehousing Design star schema, snowflake schema, and data vault models in Snowflake. Implement data sharing, secure views, and dynamic data masking. Ensure data quality, consistency, and governance across Snowflake environments. 4. Performance Tuning & Troubleshooting Monitor and optimize Snowflake warehouse performance (scaling, caching, resource usage). Troubleshoot data pipeline failures, latency issues, and query bottlenecks. Work with DevOps teams to automate deployments and CI/CD pipelines. 5. Collaboration & Documentation Work closely with data analysts, BI teams, and business stakeholders to deliver data solutions. Document data flows, architecture, and technical specifications. Mentor junior developers on Snowflake best practices. Required Skills & Qualifications · 8+ years in database development, data warehousing, or ETL. · 4+ years of hands-on Snowflake development experience. · Strong SQL or Python skills for data processing. · Experience with Snowflake utilities (SnowSQL, Snowsight, Snowpark). · Knowledge of cloud platforms (AWS/Azure) and data integration tools (Coalesce, Airflow, DBT). · Certifications: SnowPro Core Certification (preferred). Preferred Skills · Familiarity with data governance and metadata management. · Familiarity with DBT, Airflow, SSIS & IICS · Knowledge of CI/CD pipelines (Azure DevOps). Job Type: Full-time Pay: From ₹1,200,000.00 per year Schedule: Monday to Friday Application Question(s): How many years of total experience do you currently have? How many years of experience do you have in Snowflake development? What is your current CTC? What is your expected CTC? What is your notice period/ LWD? What is your current location? Are you comfortable attending L2 round face to face in Hyderabad?

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate/FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 24, 2025, 4:29:40 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details: Job Title: Data Engineer - Databricks Location: Hyderabad – Work from Office Job Description: We are searching for a seasoned Databricks Engineer to pioneer Databricks solutions. The Databricks Engineer will serve as a in our data engineering team, delivering highly sophisticated technological solutions using Databricks, Delta Live Tables, Snowflake, and Medallion Architecture. Key Responsibilities: Building, and maintaining medallion architecture-based data pipelines in Databricks platforms. Handling raw data ingestion through Delta Live Tables while ensuring data quality and access latency. Utilizing knowledge of Snowflake to offer insight into data warehousing and management. Work in conjunction with data science teams to implement complex statistical models. Ensuring data security and compliance in Databricks and Snowflake environments. Developing and deploying ETL job workflows with an emphasis on automation and scalability. Keeping up to date with industry best practices and emerging trends in Databricks technology.

Delhi, Delhi, India Department Backend Development Job posted on Jul 23, 2025 Employee Type Permanent Experience range (Years) 0 - 0 About the Role We are looking for a seasoned Engineering Manager to lead the development of our internal Risk, Fraud and Operations Platform . This platform plays a critical role in ensuring smooth business operations, detecting anomalies, managing fraud workflows, and supporting internal teams with real-time visibility and control. As an Engineering Manager, you’llbe responsible for leading a cross-functional team of backend engineers working on high-throughput systems, real-time data pipelines, and internal tools that power operational intelligence and risk management. You will own delivery, architecture decisions, team growth, and collaboration with stakeholders. Key Responsibilities Lead and grow a team of software engineers building internal risk and ops platforms. Oversee the design and development of scalable microservices and real-time data pipelines. Collaborate with stakeholders from Risk, Ops, and Product to define technical roadmaps and translate them into delivery plans. Ensure high system reliability, data accuracy, and low-latency access to risk signals and ops dashboards. Drive architectural decisions, code quality, testing, and deployment best practices. Contribute to hands-on design, reviews, and occasional coding when required. Optimize performance and cost-efficiency of services deployed on AWS. Mentor team members and foster a culture of ownership, innovation, and continuous learning. Tech Stack You'll Work With Languages: Node.js, Python, Java Data & Messaging: Kafka, OpenSearch, MongoDB, MySQL , Apache Spark , Apache Flink , Apache Druid Architecture: Microservices, REST APIs Infrastructure: AWS (EC2, ECS/EKS, Lambda, RDS, CI/CDetc.) Requirements 8+ years of software engineering experience with backend and distributed systems. 2+ years of people management or tech leadership experience. Strong experience with Node.js and Python ; familiarity with Java is a plus. Hands-on experience with event-driven architecture using Kafka or similar. Exposure to OpenSearch , MongoDB , and relational databases like MySQL . Exposure to Spark, Flink , Data pipeline ETL Deep understanding of cloud-native architecture and services on AWS . Proven ability to manage timelines, deliver features, and drive cross-functional execution. Strong communication and stakeholder management skills. Preferred Qualifications Prior experience in risk, fraud detection, operations tooling , or internal platforms . Experience with observability, alerting, and anomaly detection systems. Comfortable working in fast-paced environments with rapidly evolving requirements.

Job description: Job Description Role Purpose The purpose of this role is to perform the development of VLSI system by defining the various functionalities, architecture, layout and implementation for a client ͏ Do 1. Conduct verification of the module/ IP functionality and provide customer support a. Understand the architecture of the module or the IP and create verification environment and the development plan as per Universal Verification Methodology b. Create test bench development and test case coding of the one or multiple module c. Write the codes or check the code as required d. Execute the test cases and debug the test cases if required e. Conduct functional coverage analysis and document the test cases including failures and debugging procedures on SharePoint/ JIRA or any other platform as directed f. Test the entire IP functionality under regression testing and complete the documentation to publish to client g. Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency h. Write scripts for the IP i. Comply with project plans and industry standards 2. Ensure reporting & documentation for the client a. Ensure weekly, monthly status reports for the clients as per requirements b. Maintain documents and create a repository of all design changes, recommendations etc c. Maintain time-sheets for the clients d. Providing written knowledge transfer/ history of the project ͏ Deliver No. Performance Parameter Measure 1. Verification Timeliness Quality of Code/ Number of defects Customer responsiveness Project documentation (scripts, test cases etc)2. Self-development Skill test for next level clearance on Trend Nxt ͏ ͏ Mandatory Skills: VLSI Design For Testability - DFT . Experience: 1-3 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.