Talend Metadata Jobs in Bengaluru

Position: Catalog Head Location: Bengaluru Company: Ace Turtle Employment Type: Full-Time About Ace Turtle: Ace Turtle is India s leading tech-native retail company, driving the next phase of transformation in the retail industry. Vertically integrated from design to local manufacturing, marketing, and direct consumer engagement, Ace Turtle leverages proprietary technology and data science to meet the ever-evolving needs of today s consumer. Based in Bengaluru and Singapore, Ace Turtle is the exclusive licensee for iconic global brands such as Lee , Wrangler , Toys R Us , Babies R Us , and Dockers in India and South Asia. Role Overview: As the Catalog Head at Ace Turtle, you will oversee the development, organization, and management of our product catalog, ensuring it aligns with business goals and customer needs. You will work closely with cross-functional teams to maintain an accurate, up-to-date, and engaging catalog that drives sales and enhances the online shopping experience. Key Responsibilities: 1. Catalog Development & Management: Collaborate with product managers, marketing teams, and suppliers to gather comprehensive product data, including specifications, images, and pricing, to build an accurate and dynamic catalog. Regularly update and maintain the catalog, adding new products, removing discontinued items, and ensuring all details such as prices and stock availability are accurate. Ensure the catalog reflects the company s brand identity and product offerings effectively. 2. Data Management & Quality Control: Organize and manage product data, ensuring consistency, accuracy, and integrity across all entries. Handle categorization, tagging, and product attributes, applying best practices in product taxonomy and merchandising techniques. Conduct regular audits to identify and resolve any data discrepancies, ensuring seamless catalog updates. 3. Content Creation & Optimization: Write clear, persuasive, and SEO-optimized product descriptions that highlight key features, benefits, and unique selling points. Optimize product titles, meta tags, and other catalog content elements to enhance search engine visibility and drive conversions. 4. Catalog Presentation & User Experience: Collaborate with design and creative teams to present the catalog in an attractive, intuitive, and user-friendly format. Focus on improving catalog layout, navigation, and visual elements to enhance user experience and drive product discovery. Work with UX/UI teams to ensure an easy and seamless shopping experience, including effective filtering, sorting, and search functionalities. 5. Cross-Functional Collaboration: Partner with internal teams (marketing, sales, e-commerce, procurement) to align catalog strategies with broader business objectives. Collaborate with suppliers and vendors to ensure accurate product listings and timely updates. 6. Performance Analysis & Continuous Improvement: Monitor key performance metrics such as conversion rates, click-through rates, and customer feedback to gauge catalog performance. Use data-driven insights to optimize the catalog s effectiveness and drive improvements in user experience and sales. 7. Project Management: Manage multiple catalog-related projects concurrently, prioritize tasks, and meet deadlines in a fast-paced eCommerce environment. Coordinate with stakeholders to ensure timely execution of catalog updates and improvements. What We re Looking For: Experience: 8+ years of relevant experience in catalog management, product data management, or eCommerce merchandising. eCommerce Expertise: Strong understanding of eCommerce platforms, online retail best practices, and industry trends. Data Management: Proficiency in managing product data in eCommerce platforms or Product Information Management (PIM) systems. Ability to use data analytics tools. Attention to Detail: High level of accuracy in managing product data, ensuring consistency and quality control across the catalog. Communication Skills: Excellent written and verbal communication skills, with the ability to create compelling product descriptions. Analytical Abilities: Strong analytical and problem-solving skills, with the ability to identify opportunities for catalog optimization based on data insights. Technical Proficiency: Familiarity with eCommerce platforms, CMS tools, and digital marketing tools. Basic knowledge of HTML, CSS, or other web development languages is a plus. Project Management: Strong organizational and multitasking skills to manage projects efficiently. Innovative Environment: Be part of a leading tech-native retail company shaping the future of the industry. Growth Opportunities: Work with iconic global brands and contribute to a high-impact, fast-growing business. Collaborative Culture: Join a dynamic, cross-functional team focused on driving results and continuous improvement. Global Reach: Play a pivotal role in managing the product catalog for an internationally recognized portfolio of brands.

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Job Title: Data Quality Analyst Location: Bangalore Employment Type: Full-Time About the Role We are seeking a detail-oriented and analytical Data Quality Analyst to join our dynamic Data Desk team. In this role, you will be responsible for maintaining the accuracy, consistency, and reliability of in-house reports, fulfilling client data requests, and conducting external research to support outreach and media engagement efforts. The ideal candidate will be highly organized, process-driven, and passionate about working with data in a fast-paced environment. Key Responsibilities Quality Control of In-House Reports Review and verify internal reports for accuracy, completeness, and consistency. Identify and correct data errors or inconsistencies. Maintain and update quality control documentation and SOPs. Serve Client Data Requests Understand and interpret data-related queries and requirements from clients. Compile, format, and deliver high-quality, client-ready data in a timely manner. Conduct final QC checks before data delivery to ensure reliability and precision. External Research Conduct secondary research to support outreach efforts, including partnerships with journalists and media houses. Analyze market trends, industry data, and other external information sources. Translate research into actionable insights that inform strategic outreach and content development. Who Should Apply 2 4 years of experience in data analysis, quality control, or research-related roles. Strong interest in the startup ecosystem, venture capital, and emerging tech trends. Ability to perform structured secondary research and market analysis. High attention to detail with a process-oriented mindset. Strong analytical thinking and written communication skills. Ability to work independently and manage multiple tasks effectively. Open to continuous learning and feedback, with a growth mindset. A meritocratic environment where decisions are transparent and data-backed. A candid and collaborative culture that values curiosity and encourages questioning. Supportive managers who are invested in your growth and development. Opportunities to build and refine systems that have a meaningful impact.

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Position: Salesforce Developer (CPQ, Service Cloud, Billing) Location: Remote/Hybrid | Bengaluru, IND We're looking for a highly skilled Salesforce Developer with specialized expertise in Salesforce CPQ, Service Cloud, and Billing. If you have a strong background in developing and customizing Salesforce solutions that enhance sales, service, and billing processes, you'll be instrumental in designing and implementing complex, tailored solutions to meet our business needs. What You'll Do: CPQ Development: Customize and enhance Salesforce CPQ applications, including product configuration, pricing rules, quote templates, and approval processes. Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, covering case management, service processes, and SLAs. Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes like invoicing, payment processing, and revenue recognition. System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations. Customization & Data Management: Design and implement custom objects, workflows, validation rules, and other Salesforce features. Ensure data integrity across all Salesforce clouds and connected systems, handling data migrations and quality controls. Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations. Documentation: Create and maintain comprehensive technical documentation, including system architecture and design specifications. Collaboration: Work closely with business analysts, project managers, and stakeholders to translate business requirements into effective technical solutions. Continuous Improvement: Stay current with Salesforce platform updates and best practices across CPQ, Service Cloud, and Billing. Recommend enhancements to existing systems. What You'll Bring: Experience: 5+ years as a Salesforce Developer, with specific, hands-on experience in CPQ, Service Cloud, and Billing. Salesforce Core: Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools. Integration Savvy: Extensive experience integrating Salesforce with external systems using REST/SOAP APIs. Platform Knowledge: Familiarity with Salesforce data models and architecture, particularly within CPQ, Service Cloud, and Billing. Certifications: Salesforce Certified CPQ Specialist and/or Salesforce Service Cloud Consultant certifications are highly preferred. Problem-Solving: Strong problem-solving skills with a focus on delivering customer-centric solutions. Communication: Excellent communication skills, enabling effective collaboration with both technical and non-technical stakeholders. Multitasking: Ability to manage multiple tasks and projects simultaneously in a fast-paced environment. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Experience with Agile development methodologies. Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products. Knowledge of JavaScript, HTML, CSS, and other web development technologies. Experience with CI/CD tools and version control systems like Git.

Content Marketing Manager (SaaS) Location: Bengaluru, India (Work From Office) Experience: 8 10 Years Employment Type: Full Time, Permanent Department: Marketing & Communication Industry: Software Product Role Category: Digital Marketing About the Role We're on the lookout for a strategic Content Marketing Manager who lives and breathes content and knows how to turn words into revenue. You'll craft compelling, high-conversion content tailored to the SaaS space from landing pages to product write-ups and everything in between. This is your opportunity to shape the voice of a growing software brand and lead our content efforts with creative flair and data-driven precision. Key Responsibilities Content Creation & Strategy Create high-quality, engaging content across web, blog, case studies, emails, product pages, and social media. Own the editorial calendar plan, brainstorm, and execute impactful content campaigns. Collaborate with product, sales, and marketing teams to align content with business objectives. Content Execution & Optimization Edit and proofread for clarity, accuracy, tone, and brand alignment. Ensure content is optimized for SEO and performance metrics like engagement, rankings, and conversions. Regularly audit and update existing content for freshness and effectiveness. Performance & Innovation Track content KPIs including organic traffic, bounce rate, time on page, and lead conversions. Explore new formats like video scripts, infographics, or interactive content to boost reach and engagement. Continuously improve messaging based on performance data and audience insights. What You Bring Technical Skills & Tools Strong understanding of SEO best practices keyword research, optimization, and performance tracking. Experience working with CMS platforms like WordPress or Joomla. Familiarity with tools like Grammarly, Hemingway, Google Analytics, Ahrefs, or SEMRush. Bonus: Basic HTML knowledge for tweaking web content. Soft Skills Excellent writing, editing, and communication skills. Strong project and time management you're used to juggling multiple content projects at once. Creative mindset with an eye for compelling storytelling in a B2B SaaS environment. Qualifications Education: UG: Any Graduate PG: Any Postgraduate (preferred but not mandatory) Perks & Benefits Competitive compensation (as per industry standards) Opportunity to lead and innovate in a fast-growing SaaS company Work alongside a creative and collaborative marketing team

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Director Data Management (Data Migration & Automation) Location: Bangalore, India About MaxVal Founded in 2004, MaxVal is a pioneer in IP services focused on efficiency, cost-effectiveness, and continuous improvement driven by metrics-based processes. Our technology-driven IP solutions serve over 600 clients globally. With a talented team of 725+ IP and tech experts, MaxVal continuously innovates to deliver exceptional customer and employee success. Job Summary MaxVal is looking for an experienced and visionary Director of Data Migration and Automation to lead our data migration initiatives. You will oversee migrating data from various IP solutions to our software platform, ensuring accuracy, integrity, and efficiency through automation. This leadership role requires strategic thinking, strong domain expertise in Intellectual Property, and the ability to inspire and guide a team of specialists. Key Responsibilities Team Leadership & Management Lead, mentor, and empower a team of Data Migration specialists, ensuring resources and guidance for successful project delivery. Cultivate a collaborative, client-centric culture within the team. Data Mapping & Transformation Design comprehensive data mapping and transformation plans aligning external IP data with MaxVal s platform. Maintain data integrity and consistency throughout migration. Competitor Data Analysis Analyze competitor IP data structures and models to inform effective migration strategies. Automation System Development Architect and develop automation solutions to streamline migration workflows, including data mapping and transformation. Create processes and scripts to automate repetitive tasks and enhance efficiency. IP Domain Expertise Utilize deep knowledge of IP data types (patents, trademarks, copyrights, legal entities). Collaborate with legal experts to ensure precise migration of IP information. Technical Integration & Customization Partner with technical teams to embed automation into migration workflows. Customize automation tools to accommodate unique IP and legacy system requirements. Quality Assurance & Testing Define QA protocols specific to IP data migration. Conduct thorough testing to validate data accuracy and completeness. Stakeholder Engagement Interface with clients to understand migration needs and challenges. Offer expert recommendations to achieve successful migration aligned with client goals. Continuous Learning & Innovation Stay abreast of industry trends, best practices, and emerging technologies in data migration and automation. Drive continuous improvements in automation and migration efficiency. Cross-Functional Collaboration Work closely with product, engineering, and client-facing teams to ensure migration success and contribute to product enhancements. Documentation & Knowledge Sharing Maintain detailed documentation of migration processes and automation workflows. Lead workshops and training to disseminate best practices internally and to clients. Requirements Experience: 15+ years leading data migration projects in software implementations. 10+ years in leadership roles managing and mentoring teams. Expertise: Strong knowledge of data migration methodologies, tools, and best practices. Familiarity with automation tools, database management, and data integration platforms. Deep understanding of the Intellectual Property domain is highly preferred. Skills: Strategic leadership with excellent communication and stakeholder management skills. Ability to drive innovation and build scalable automation solutions.

Job Title: Consultant - Content Operations Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Glance is a leading consumer technology company powering innovative digital platforms such as Glance, Roposo, and Nostra. Founded in 2019 and headquartered in Singapore, Glance s smart lock screen technology transforms how users engage with their smartphones by delivering relevant content without searching or downloading apps. Currently, Glance s lock screen reaches over 400 million smartphones globally. Our platforms include: Glance: The revolutionary smart lock screen platform Roposo: A dynamic LIVE video platform transforming creator-led experiences Nostra: The largest gaming platform across India and Southeast Asia Join Glance and unlock your potential in a fast-paced, innovative environment. Here, your ideas matter you ll work on impactful projects alongside ambitious peers, leveraging the latest tech to reshape digital content experiences. We value autonomy, creativity, and collaboration. Enjoy benefits such as daily meals, wellness programs, tech tools, and a family-friendly workplace where your kids and pets are welcome. Key Responsibilities Content Operations Consultant Content Moderation: Ensure all user-generated and platform content adheres to Glance s brand guidelines, legal compliance, and community standards. Content Curation: Analyze user preferences, regional trends, and current events to select and organize engaging, relevant content. Creative Enhancement: Innovate by adding creative elements that boost emotional connection and user engagement across platforms. Content Publishing: Manage the end-to-end content publishing lifecycle, guaranteeing accurate, timely releases aligned with operational goals. Cross-Functional Collaboration: Work closely with engineering and product teams during content production and staging to ensure flawless publishing and technical accuracy. Candidate Profile & Qualifications Demonstrated experience (0.5 months to 1 year) in content moderation, digital content curation, creative content strategy, or content publishing in a fast-paced digital or tech environment. Strong understanding of content compliance, audience engagement, and digital publishing workflows. Ability to collaborate with cross-functional teams including engineering and product management. Excellent attention to detail, creativity, and adaptability in a dynamic work setting.

Data Management Analyst Location: Bengaluru, Karnataka Team: Data Management About this Role This position is part of BlackRock s initiative to revolutionize private markets data and technology, complementing the Aladdin platform to deliver comprehensive investment solutions globally. The Data Management team is dedicated to ensuring that coverage of the alternative assets industry remains accurate, up to date, and comprehensive. As a Data Management Analyst, you will focus on processing and assuring the quality of public data. Reporting to the Data Lead, you will collaborate with a distributed team of specialists to research, analyze, and curate public data delivered to our clients. What You ll Do Acquire, update, and maintain high-quality alternative assets data using internal tools and software. Conduct thorough web-based research on firms, funds, and transaction activities in the alternative asset space. Update databases with key financial information, statistics, and analyses relied upon by clients. Participate in complex data projects involving data quality, process re-engineering, and workflow optimization. Develop domain expertise to enhance the quality and scope of data offerings. Collaborate with stakeholders across various business units to improve data product offerings. What You Bring Bachelor s degree or equivalent experience in Finance or a related field. Approximately 6 months of relevant experience. Strong interest in finance and knowledge of financial markets. Proficiency in English with excellent writing and interpersonal skills. Experience with Microsoft tools such as Excel, SharePoint, and Office 365. Benefits We offer a wide range of benefits designed to keep you energized, engaged, and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax and recharge. Hybrid Work Model Our hybrid work model fosters collaboration and mentorship, supporting employee growth and flexibility. Employees typically work at least 4 days per week in the office with the option to work from home 1 day per week, ensuring a balance between teamwork and individual productivity. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients, and those they serve, rely on investments that support retirement, education, home ownership, and business ventures. These investments also strengthen the global economy by supporting businesses, financing infrastructure, and enabling innovation. We invest deeply in our employees, creating a welcoming and supportive environment with opportunities for development, networks, and benefits to help you thrive. Qualification : Bachelors degree or equivalent experience in Finance or a related field.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Senior Product Manager AI Products | SaaS | CLM | Bangalore Location: Bangalore, India Department: Product Management Reports To: Manager, Product Management Experience Required: 5+ years in Product Management (B2B SaaS, AI, or Document Automation) Industry: SaaS | AI/ML | Contract Lifecycle Management (CLM) About Conga At Conga, we help global businesses simplify complexity and drive revenue growth through powerful Revenue Lifecycle Management solutions. Our platform unifies critical business processes across configuration, execution, fulfillment, and renewal empowering teams with AI-driven insights to make smarter, faster decisions. The Conga Way shapes our culture it s how we hire, collaborate, and innovate. Developed with direct input from our employees, it ensures every voice is heard and every talent is nurtured. Role Overview Senior Product Manager (Discovery AI): We are looking for a Senior Product Manager to lead the development of Discovery AI, Conga s advanced metadata extraction and document analysis engine. You will play a key role in bringing AI-powered solutions to market, working cross-functionally to drive innovation and enhance the way enterprises manage contracts and data. Why This Role Matters: Discovery AI helps businesses unlock hidden insights from unstructured documents, improving compliance, reducing manual processing, and increasing operational efficiency. Your leadership will define how Conga delivers next-generation solutions in document intelligence, AI, and contract metadata extraction transforming the way customers interact with their most critical data. Key Responsibilities: AI-Driven Product Innovation: Define and lead the roadmap for metadata extraction and document intelligence solutions powered by AI/ML. Hands-On Product Execution: Deliver demos, manage implementation rollouts, and work closely with scrum teams to ship features on time and with impact. Customer-Centric Strategy: Gather and prioritize customer feedback to continuously refine Discovery AI features and address real-world use cases. Cross-Functional Leadership: Collaborate with engineering, data science, UX, services, and marketing teams to ensure aligned product delivery. Market & User Research: Conduct in-depth research to identify opportunities for new AI-powered capabilities and competitive differentiation. Analytics & Prioritization: Use data insights and usage metrics to shape roadmap decisions and measure product success. Internal Enablement: Create clear documentation, support training materials, and partner with customer success to handle escalations. Go-to-Market Collaboration: Work with marketing and sales teams to communicate product value and drive adoption. Qualifications: 5+ years of experience in Product Management, ideally in B2B SaaS, AI/ML, or document/data extraction platforms. Proven ability to manage full product lifecycle from concept to launch and iteration. Strong grasp of AI/ML fundamentals and how they apply to business workflows. Experience with Contract Lifecycle Management (CLM) or enterprise legal/document systems is a strong plus. Bachelor s degree in Engineering or related technical field (Master s or MBA is a plus). Strong communication and stakeholder management skills across both technical and business teams. Passionate about solving real-world customer problems using data and intelligent automation. What Will Set You Apart: Deep empathy for the customer journey and a strong desire to build products that deliver measurable impact. Proven leadership in Agile product development environments. Ability to clearly communicate complex technical concepts to non-technical audiences. Enthusiasm for AI-driven transformation and the future of intelligent business systems. Collaborative mindset with the ability to influence without authority across distributed teams. Qualification : Bachelors degree in Engineering or related technical field (Masters or MBA is a plus).

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field