Design Engineers in Bengaluru

Responsibilities Collaborate - Upholding CXD process, collaborating with product management and engineering to define and implement innovative solutions. Craft - Creating wireframes, storyboards, user flows, and process flows to effectively communicate interaction, design ideas and building application UI toolkits. Construct - Conceptualizing original ideas that bring simplicity and user friendliness to complex design roadblocks. Concentrate - Demonstrating attention to detail and problem-solving skills along with paying careful attention to staying on-brand. Convince - Presenting and articulating designs and key milestone deliverables to peers and executive level stakeholders. Minimum Qualifications A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Proficiency in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, tools, techniques, and technologies and their role in a commercial environment. 4-7 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you. Role: ALDS Mandate Skills & Competencies: Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and c

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Brief We are looking for a Product Analyst to join our product team and support data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, user behavior, and key metrics to improve customer experience and drive product growth. You will work closely with Product Managers, Engineering, Design, and other stakeholders to translate data into actionable product insights. Key Responsibilities * Analyze product performance, user behavior, and feature adoption to identify optimization opportunities * Define, track, and monitor product KPIs such as engagement, retention, conversion, and growth * Build and maintain dashboards and reports using spreadsheets, SQL, and BI tools * Partner with Product Managers to support roadmap prioritization and feature impact analysis * Conduct funnel, cohort, trend, and root-cause analysis * Support product launches by defining success metrics and performing post-launch analysis * Analyze product ratings, reviews, and customer feedback to inform product improvements * Drive small to medium-scale analytics initiatives end-to-end * Collaborate with cross-functional teams to present insights and recommendations * Benchmark products against industry trends and best practice*s Required Qualifications * Bachelor’s degree in Business, Economics, Mathematics, Engineering, Computer Science, or a related field; Master’s degree preferred * 3-5 years of Proven experience in a Product Analyst or product-focused analytics role * Strong proficiency in SQL and working with relational databases * Strong experience with spreadsheet-based analysis and da

Job Title Lead Software Technologist I - UI Job Description Minimum required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Job title: Lead Software Technologist I Your role: Lead development of intuitive clinical user interface applications used by clinicians in high-acuity environments. Collaborate with UX teams and clinicians to ensure applications meet usability and safety requirements. Provide technical leadership across modern UI technologies and supporting C++ layers for embedded devices. Lead and mentor Platform development teams on software architecture, design patterns, and embedded systems best practices through daily hands-on collaboration. Lead and mentor application development teams on application services for physiological data visualization, and clinical decision support features. Establish and enforce quality standards, development methodologies, and coding practices that drive continuous improvement in software reliability and performance. Conduct rigorous code reviews and provide constructive technical feedback to ensure adherence to medical device software standards (IEC 62304, FDA regulations) Optimize application performance by identifying and resolving bottlenecks in resource-constrained embedded Linux environments. Drive the adoption of AI-enabled development tools and demonstrate measurable productivity improvements across the team. Collaborating with cross-functional teams including Product Management, QA, Regulatory, and other engineering leads to define and deliver features. Support software lifecycle management activities including sustaining engineering, defect resolution, and platform evolution.

Position Overview: A Junior Research Analyst within the Diligent Market Intelligence function supports subject matter expertise in specialized research areas such as compensation, governance, activism, voting, and risk. Their main responsibilities include assisting in the design and management of data collection methodologies, overseeing third-party service provider workflows, and ensuring high-quality, timely data delivery. They are also expected to execute manual data collection from global sources, maintain strong quality assurance practices, and collaborate closely with Product and Engineering teams to ensure operational efficiency and accuracy. Additionally, Junior Research Analysts take ownership of specific daily and weekly tasks, contribute to ongoing projects, and play a key role in training service providers while keeping process documentation clear and up to date. The role requires strong numeracy, attention to detail, independent work habits, and a proactive approach to continuously improving research products and processes. Key Responsibilities: Proactive communication and management of outsourcer workload. Conduct data collection tasks to uphold the integrity of our database and keep it current. Execute systematic checks to identify data inaccuracies and operational inefficiencies as per predefined protocols. Provide regular updates and reports to the Vertical lead on progress and challenges. Take ownership of specific daily and weekly tasks, as well as ongoing projects within the assigned research vertically. Required Experience/Skills: Entry level Analytical approach and problem-solving attitude Strong written and verbal communication skills Ability to manage deadlines Ability to adapt to difficult workload demands, e.g., time/resource constraints Proficiency in Microsoft Office, especially Excel About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 70

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. SAP SD/MM Analyst THE ROLE As an SAP SD Analyst at Everpure, you will design and optimize robust Order-to-Fulfillment (OTC) and supply chain solutions that power our global commercial operations. Collaborating with cross-functional finance, procurement, and IT engineering teams, you will turn complex business processes into highly scalable SAP systems. By integration-testing SD, MM, and Customer Service modules, you will directly accelerate order processing velocity and improve supply chain predictability. Your mission is to elevate system integrity and build a high-performing, seamless enterprise architecture for our global stakeholders. WHAT YOU'LL DO Order-to-Fulfillment System Design: Own the translation of business requirements into high-quality functional and technical specifications for SAP OTC, SD, and MM solutions, ensuring scalability, security, and alignment with industry standards. Cross-Functional Architecture Integration: Lead configuration and integration mapping across SD, MM, IM, and FI modules—including critical touchpoints with Customer Service (CS) and Service Management (SM)—to establish seamless data flows and unified business processes. Supply Chain Optimization & Analytics: Implement cutting-edge supply chain planning and optimization solutions, leveraging analytics dashboards (SAC) and Demand Planning frameworks to enhance inventory accuracy and operational transparency. Continuous System Healt

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalisation Excellence (GE) Zinnov’s Globalisation Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end — from Design & Discovery to Build, Scale, and Run . In GE, you don’t work in silos. You: Own complex, end-to-end client journeys Work across GCC advisory, managed services, and BOT / outsourcing models Influence leadership decisions that shape long-term talent and operating strategies This is where strategy meets execution — and where talent plays a defining role. About the Role This role requires a recruiter who combines deep technical recruiting expertise with an AI-first mindset. You will partner with engineering leaders to hire niche and leade

JOB TITLE Systems Analyst, Workday HCM/Payroll A Career with point72’s technology TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Serve as the primary application support partner for Payroll and HR, providing expert support across compensation, benefits, absence, time tracking, and Workday Payroll, Security, and integrations, while ensuring policy and regulatory compliance. Execute ongoing system configuration changes, such as business processes, foundational data, and security model updates, and participate in the bi‑weekly Agile sprint development process for Tier 3 requests and feature enhancements, adhering to SDLC methodology and Workday Change Management protocols. Architect and design end‑to‑end solutions that include Workday configuration, integrations, and downstream system impacts, working closely with integration and platform engineering teams. Collaborate with stakeholders to gather and document business requirements, translate them into tech

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

Senior Data Scientist Description - Job Summary • This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability. Responsibilities • Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages. • Defines models to uncover patterns and predictions creating business value and innovation. • Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives. • Ties insights into effective visualizations communicating business value and innovation potential. • Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions. • Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences. • Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance. • Defines, communicates and drives data insights/innovation into the business. • Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business

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

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 As a ServiceNow Business System Analyst at Everpure™, you will serve as the strategic bridge between cross-functional business partners and technical engineering teams to unlock the full potential of our enterprise platform . You will maximize organizational agility by aligning ServiceNow capabilities across ITSM, HR, and Field Services directly with key business outcomes . Partnering closely with developers, product owners, and enterprise leaders, you will drive operational efficiency, seamless automation, and platform modernization . If you thrive on transforming complex enterprise workflows into scalable, high-impact digital experiences, this role offers an exciting opportunity to shape our technology ecosystem . WHAT YOU'LL DO Drive Business Process Optimization & Alignment: Lead workshops with key stakeholders across IT, HR, and Operations to map current-state workflows, eliminate operational bottlenecks, and design scalable future-state processes that enhance service efficiency and align with enterprise governance standards . Manage Agile Backlog & Deliver Strategic Value: Transform complex business requirements into prioritized epics, clear user stories, and acceptance criteria within Agile delivery frameworks, ensuring technical features directly support measurable organizational goals . Ensure Delivery Excellence & Solution Quality: Partner with platform architects and engineering teams to rev

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan