Senior Deep Learning Solution Architect in India

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP is accelerating the adoption of AI across the enterprise, investing in a portfolio of strategic initiatives designed to transform how work gets done across our global business. Within Enterprise Technology, we're enabling this transformation by building the platforms, capabilities and operating models that will power the next generation of work. From Microsoft Copilot and intelligent automation to emerging AI technologies and agentic workflows, we're embedding AI into the fabric of how WPP operates globally. We're looking for a Project Manager (Value & Delivery) to help us understand, measure and evidence the impact of AI across the organisation. This role sits at the centre of WPP's Enterprise AI adoption and measurement capability. You'll own the data, reporting and analytics that enable senior leaders to understand how AI is being adopted, where value is being created and what actions are needed to accelerate impact. You'll report to the Programme Manager (Value & Delivery). We're looking for someone who combines strong analytical and data modelling expertise with a de

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking a highly analytical and business-oriented Data Analyst to join our Global Centre of Excellence (COE) in Mumbai. This role will play a critical part in enabling data-driven decision-making across Global Procurement and Real Estate & Workplace Solutions (REWS). The analyst will act as a data partner for both functions - owning dashboards, analytics, reporting frameworks, and data quality - while supporting global transformation initiatives, cost optimisation, portfolio performance, and digital enablement. This is a hands-on role requiring strong analytical capability, stakeholder engagement, and the ability to translate complex datasets into clear, actionable insights for senior leadership. What you'll be doing: Data Strategy & Governance (Procurement & REWS) Support the execution of the global data and reporting strategy across Procurement and REWS. Ensure data accuracy, integrity, and consistency across multiple data sources (ERP, S2C tools, real estate systems, finance data). Define and maintain data validation processes for spend, contracts,

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Search Team at Postman is responsible for enabling users to quickly find and get started with the APIs that they are looking for. Postman is growing at a rapid pace, and this manifests into an ever-increasing volume of data that users create and consume, within their teams and in the Public API Network. We focus on improving discovery and ease of consumption over this data. We are looking for a Senior Engineer with 6+ years of experience deep backend expertise on search and ETL systems and a strong product mindset, to lead core initiatives on our search platform. In this role, you'll work at the intersection of infrastructure, relevance, and developer experience—designing systems that power search across the platform. You’ll bring a bias for action, a strong backend foundation, and the curiosity to explore beyond traditional boundaries, including areas like high performance web services, high volume data pipelines, machine learning, and relevance tuning. What You'll Do Own end to end architecture and roadmap of search platform consisting of distributed indexing pipelines, storage infra and high performance web serve

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis. Responsibility : Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators. Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. 3-5 years of experience. Expert-level proficiency in SQL. Strong experi

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis. Responsibility : Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators. Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. 3-5 years of experience. Expert-level proficiency in SQL. Strong experi

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth Opportunities

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Software Engineer Grow your engineering career building software that matters by powering AI automation for the world’s largest enterprises. Location: Chennai, | Work Model: On-site (5 days/week) About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Senior Software Engineer, you will take meaningful ownership of the software you build. You will bring deep technical expertise to a highly skilled team solving real problems at enterprise scale. As an experienced engineer, you’ll be equipped with cutting-edge AI tooling to design and deliver features of real sophistication, shape team-level engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration . What You’ll Do Develop Clean Software: Architect, build, and optimize core platform features while maintaining a strong personal technical presence on the team. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical sto

About the Role At Jumio, the Software Development Engineer IV - QA (SDE-IV, QA) is a senior technical role focused on ensuring the quality, performance, and reliability of highly scalable web portals and distributed backend systems. Our platform spans multiple Java Spring Boot microservices and customer-facing web portals , deployed across AWS ECS, EKS, and Lambda , and integrated through event-driven messaging using SNS/SQS . In this role you will design and drive the test automation strategy for both UI (Playwright) and API/service layers, set the quality bar for the team, and act as a force multiplier — mentoring other engineers and embedding quality earlier in the development lifecycle. You will work closely with development, product, and DevOps teams to ensure our products meet the highest standards of quality, scalability, and security. This is a hands-on senior IC role: you will write code, but you will also influence architecture, own cross-service test strategy, and make build-vs-buy decisions for testing tooling. T-Shaped Engineering Expectation As part of Jumio's engineering culture, you will adopt a T-shaped engineering approach. Beyond deep expertise in test automation and quality engineering, you will contribute across the development lifecycle — understanding software architecture, participating in design and API-contract discussions, reviewing application code, and ensuring our distributed systems are testable, observable, and resilient by design. Role Value This role is critical to ensuring the reliability, scalability, and security of Jumio's products. By architecting and maintaining automated testing frameworks across web, API, and event-driven layers, you will enable faster, higher-confidence releases and reduce production risk in a complex microservices environment. What You'll Do Test Architecture & Strategy Define and own the end-to-end automated test strategy across web portals and backend microservices, balancing UI, API, contract, integ

Base Location: Noida (Extensive Pan-India Travel Required) Role Overview We are looking for a high-ownership, execution-first General Manager to drive cross-sell initiatives by working closely with offline business teams and partners across locations. This role is critical in bridging central product and business teams with on-ground leaders, ensuring rapid execution, structured feedback loops, and strong MIS-driven decision making. The role demands significant travel, deep coordination with senior field leaders, and the ability to operate with an entrepreneurial mindset in ambiguous, fast-moving environments. Key Responsibilities ● Act as the single-point owner for driving cross-sell initiatives through offline teams across regions ● Travel extensively across cities to work with regional and city heads, align on targets, incentives, and execution plans, and resolve on-ground bottlenecks in real time ● Ensure consistent execution of cross-sell programs across all locations ● Drive adoption of new products through offline channels and identify high-potential locations and teams for scaling ● Build and refine cross-sell playbooks in collaboration with central teams based on field learnings ● Act as the voice of the field by gathering structured feedback from frontline teams and leaders ● Translate qualitative on-ground feedback into clear, actionable inputs for product, operations, and leadership teams ● Build and own robust Excel-based MIS dashboards covering cross-sell performance, location-wise metrics, leader-wise performance, and funnel conversion ● Ensure data accuracy, reporting discipline, and timely business reviews ● Use MIS and insights to drive accountability and course correction ● Work closely with senior offline leaders, product, operations, and analytics teams ● Influence without authority and drive alignment across multiple stakeholders Candidate Profile Experience ● 8–14 years of overall experience (flexible for exceptional candidates) ● Strong ex

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role We are seeking a strategic Senior Analyst - Data & Analytics to champion our people analytics function and shape data-driven talent decisions. This is a high-impact, hands-on role where you will design, build, and deploy AI-augmented analytics products that drive workforce effectiveness and organizational performance. You bring deep HR domain fluency, a flair for compelling data storytelling, and proven experience turning complex workforce data into strategies that senior leaders actually act on. You will be a key partner to HRIS, IT, and global business leaders — sitting at the intersection of data engineering, business insight, and AI-powered tooling. What You'll Do Lead the full lifecycle of people analytics projects — from gathering stakeholder requirements to delivering scalable, validated, and actionable insights that guide business and talent strategy. Design, build, and deploy executive-ready analytics dashboards by leveraging AI and GenAI tools (including Claude) to rapidly prototype and implement custom web-based solutions — delivering intelligent, self-serve analytics experiences without the constraints of traditional BI platforms. Explore, prototype, and deploy AI powered analytics solutions to support workforce planning, attrition prediction, and people insights at scale. Partner with HRIS, IT, and business leaders to drive data integrity, governance, and seamless integration across core HR system

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. As an Insurance Senior Specialist, you will serve as the subject matter expert for Zocdoc's insurance taxonomy and related systems. You will own the policies, processes, and quality standards that ensure our insurance data is accurate, scalable, and aligned with product strategy. This role combines deep expertise in the U.S. health insurance landscape with strong analytical thinking to improve the patient search experience and strengthen the integrity of our insurance database. You will partner closely with Product, Operations, and Engineering teams to define insurance policies, monitor database health, and drive continuous improvements. Your work will directly influence how patients find in-network care by ensuring that our insurance taxonomies, carrier and plan coverage, and provider matching systems remain accurate, scalable, and responsive to changes in the healthcare market. A Day in the Life of a Product Operations Specialist: Define Insurance Policies & Standards: Own the policies governing insurance carriers and plans across the Zocdoc marketpl