Performance Evaluation Jobs in Bengaluru

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

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Job Title: Manager Product Development Location: Bangalore Function: Brigade Plus Interior Design Employee Type: Permanent Experience Required: 3 11 years Position Overview We are looking for a dynamic and forward-thinking Product Development Manager to lead the ideation, design, and development of innovative interior product solutions. The ideal candidate should be highly creative, analytically strong, and capable of managing the complete product lifecycle from concept through production while coordinating with suppliers and staying ahead of market trends. This role requires strong communication abilities, problem-solving skills, and cross-functional collaboration with design, vendor, and production teams. Key Responsibilities Product Innovation & Design Proactively develop and conceptualize cutting-edge products, focusing on innovation in interior design elements. Generate a high volume of ideas related to product design, usability, and market fit. Vendor & Supplier Coordination Collaborate with domestic and international vendors to streamline production, ensure quality, and maintain timelines for product delivery. Oversee vendor management processes, including selection, negotiation, and performance evaluation. Market Research & Trend Analysis Conduct ongoing research on competitive products, industry trends, and customer needs. Use findings to refine product offerings and maintain a competitive edge. Development & Execution Manage the entire product development lifecycle, from ideation to prototyping, testing, and final rollout. Ensure alignment of product specs with brand standards, customer expectations, and market requirements. Required Skills & Abilities Core Skills: Product Development & Design Development & Vendor Management Strategic Execution & Market Fit Cognitive Abilities: Fluency of ideas and creative thinking Deductive reasoning for problem-solving Oral expression and comprehension Clear and effective communication Qualifications Educational Background: B.A. / B.Sc. / B.E. / M.Tech or equivalent in a relevant discipline Experience: 3 to 11 years in product development, preferably within interior design, furniture, home d cor, or related industries Required Knowledge Areas Customer & Personal Service Understanding user needs and delivering quality experiences Administration & Management Project planning, team coordination, and resource management English Language Proficiency Strong grasp of grammar, composition, and communication Education & Training Ability to mentor, coach, and guide teams Human Resources Principles Understanding organizational structures, team building, and recruitment practices Qualification : B.A. / B.Sc. / B.E. / M.Tech or equivalent in a relevant discipline

Job Title: Senior Engineer, Development Location: Bengaluru Employment Type: Full-Time, Regular Reports To: Full Line: Senior Manager, R&D Dotted Line: Associate Vice President, R&D Overview We are looking for a Senior Engineer, Development to join our dynamic R&D team. This role involves hands-on software development, design, and mentoring responsibilities. The ideal candidate brings deep technical expertise, a collaborative mindset, and the ability to guide junior engineers in delivering high-quality solutions aligned with business goals. Key Responsibilities Analyze customer-reported issues and perform regression impact analysis in ERP systems. Design and develop software features, including both high-level and low-level designs. Build applications supporting database functionality, GUI-based interfaces, and web tools. Write clean, maintainable code while following best practices and using version control systems. Mentor and guide junior developers, fostering technical growth and knowledge sharing. Participate in code reviews, design discussions, and technical planning sessions. Demonstrate strong understanding and expertise in core modules of the primary product. Communicate effectively with customers, internal teams, and stakeholders. Maintain a solid understanding of secondary products and their core components. Job Scope Knowledge: Leverage broad experience and deep technical knowledge to solve complex problems creatively and efficiently. Complexity: Engage in complex development tasks that require analysis and evaluation of various factors. Apply sound judgment in selecting approaches and techniques. Supervision: Work independently on assignments, determining the best approach to achieve outcomes. Required Qualifications Education: Bachelor s degree in Engineering, Computer Science, or a related field (required). Experience: Minimum 2+ years of hands-on software development experience with a Bachelor's degree. Experience range typically between 1 3 years. Technical Skills and Competencies Strong expertise in: Progress 4GL (GUI/CHUI), Progress Database Management, OpenEdge Application Server (AppServer/PASOE), Pro2 replication Preferred skills: .NET programming within Progress 4GL ecosystem ERP systems and Unix/Linux operating environments Additional advantages: Experience developing n-tier desktop or web applications using UI frameworks Familiarity with non-functional requirements like scalability, performance, and security Agile development methodology, requirement gathering, and release management This role offers the opportunity to contribute significantly to high-impact projects while advancing your career in a collaborative, growth-oriented environment. Qualification : Bachelors degree in Engineering, Computer Science, or a related field (required).

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Financial Analyst FP&A (Go-To-Market Finance) Location: Bengaluru, Karnataka About the Team The Financial Planning & Analysis (FP&A) team drives Rubrik s financial health by delivering accurate forecasting, budgeting, and financial insights. The team partners closely with business units to optimize resource allocation, identify growth opportunities, and support strategic decision-making, fueling Rubrik s innovation and results-driven culture. About the Role As a Financial Analyst on the Go-To-Market (GTM) Finance team, you will be a critical contributor supporting Rubrik s growth through detailed financial planning, analysis, and reporting. This individual contributor role requires collaboration with global, cross-functional teams to enhance financial visibility and provide actionable insights. Key Responsibilities Accrual Tracking & Reporting: Calculate, track, and report accruals accurately to support financial close and compliance. Financial Planning & Forecasting: Assist in preparing annual budgets, rolling forecasts, and long-term financial plans aligned with business strategies. Reporting & Analysis: Build and maintain financial models, dashboards, and reports to monitor KPIs and deliver insights to stakeholders. Variance Analysis: Analyze financial results versus forecasts and budgets to identify trends, risks, and opportunities. Global Commissions Management: Oversee global commissions ensuring precise calculations and timely reporting aligned with organizational goals. Stakeholder Collaboration: Work with business leaders across functions to support financial decision-making and performance improvement. Ad-Hoc Projects: Support special projects, business case evaluations, and strategic initiatives to drive growth and efficiency. Process Improvement: Identify and implement enhancements to increase the accuracy, efficiency, and scalability of FP&A processes. Experience & Qualifications Required: MBA (Finance) or CA qualification. 2-3 years of FP&A, financial analysis, or related experience, preferably in a technology or SaaS environment. Strong proficiency in financial modeling and advanced Excel skills. Excellent analytical and problem-solving abilities. Strong verbal and written communication skills for presenting insights clearly. Self-starter with strong prioritization skills, able to work independently in a fast-paced setting. Preferred: Experience with Adaptive Insights, NetSuite, Salesforce, Tableau, or Xactly. Prior experience managing commissions and leading Variance Analysis Meetings. Background in sales finance is a plus. Rubrik is a leader in Zero Trust Data Security , securing data across enterprise, cloud, and SaaS platforms. Joining Rubrik means being part of a mission-driven company dedicated to protecting global data with cutting-edge technology and a collaborative culture. Qualification : MBA (Finance) or CA qualification.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Android Developer - I Location: Bangalore, Karnataka | Tech About the Team When 5% of Indian households shop with us, it s important to build resilient systems to manage millions of orders every day. We ve done this with zero downtime! Sounds impossible? Well, that s the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We ve taken steps to inculcate a strong Founder s Mindset across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Software Development Engineer - I Android, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we aren t building unparalleled tech solutions, you can find us debating the plot points of our favorite books and games or even gossiping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role We are seeking problem solvers to join our team of Android Developers. We want candidates with experience in programming, user interfaces, and/or tools supporting applications on Android using the Android SDK. As SDE I - Android, you will gain experience in building maintainable and testable code bases, including API design and unit testing techniques. If you are interested in joining a world-class team of passionate engineers who work hard and play hard, we look forward to hearing from you. What you will do: Perform code reviews, write unit tests, and contribute to architectural planning and refactoring. Work on bug-fixing and improving application performance. Design and build new features and improvements for the Android platform. Mentor interns and support team members. Collaborate closely with QA, Engineers, Product Managers, and Designers across the company. Collaborate with cross-functional teams to define, design, and ship new features. What you will need: BE/BTech/BCA/BSc in any discipline. 1+ years experience in a relevant role. Experience having worked on two or more Android apps in the past. Familiarity with Java, Kotlin, Android SDK, and the ecosystem. Familiarity with Material Design guidelines, common mobile UX patterns, and anti-patterns. Experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson Arch-components etc. Experience with different programming paradigms, esp. functional and reactive programming. Familiarity with consuming REST APIs, and what makes them RESTful. Familiarity with Git and continuous integration. Proficiency at object-oriented programming and multi-threading. Understanding of advanced Android concepts like Custom Views, Accessibility Services, background processing APIs. Understanding of different architectural patterns (esp. MVVM) and their testability. Proficiency at debugging, including identifying memory leaks, performance bottlenecks and using tools like ADB, Proguard, etc. Ability to tell good design from bad design. Ability to write clean, maintainable code which others can work on. Apps published to Play Store are a plus. About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non-monetary, tangible, and intangible in nature. Our 11 guiding principles, or "Mantras," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude...

Assistant Manager - Experience Location: Bangalore, Karnataka | Fulfilment & Experience About the Team As a part of the Fulfillment and Experience (F&E) team at Meesho, you will be at the forefront of using data to drive exceptional experiences for our Suppliers and Users. Our team is pivotal in solving complex, industry-defining problems at scale, making an impact on overall Supplier & User experience. About the Role In this role, you will primarily focus on leveraging data analytics to enhance user experiences across our platform. You will identify key challenges, devise data-driven solutions, and lead the implementation of these strategies to improve operational and experience metrics and work closely with multiple Stakeholders. You will be leveraging data to share the insights on next steps to achieve long term & short term vision. What you will do: Problem Identification & Prioritization: Analyze large datasets to identify trends, patterns, and outliers that drive actionable insights for improving customer and seller experiences. Instrumentation Dashboard: Implement alert systems within dashboards to notify stakeholders of critical issues or emerging trends that require immediate attention. Solution Discovery: Own the responsibility for designing and implementing programs aimed at enhancing user experience metrics like Net Promoter Score (NPS) and other operational metrics. Adoption & Metrics: Define product metrics for your area, and track them continuously. Identify usage patterns and come up with action plans to move metrics in the right direction. Roadmap Creation: Create a product roadmap for your area that has at least a 3-month forward-looking view of key customer/business problems to be solved. What you will need: B.Tech degree from a Premium college. 2 - 4 years of experience, preferably in Strategy & Operations/Management Consulting with a strong analytical focus. Proficiency in SQL for querying relational databases and manipulating large datasets. Hands-on experience with BI and data visualization tools (e.g., Tableau, Power BI, Looker) to create interactive dashboards and reports. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication skills with the ability to translate complex data findings into actionable insights and recommendations. About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an 'Everyday Lowest Cost' channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non-monetary, tangible and intangible in nature. Our 11 guiding principles, or "Mantras," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude for stretched work, personalized gifts, engagement & fun at work - we promote employee delight at the workplace. Many other benefits such as salary advance support, relocation assistance, and flexible benefits plans further enrich the Meesho employee experience. Qualification : B.Tech degree from a Premium college.

Associate Category - Men Fashion Location: Bangalore, Karnataka | Business About the Team Because we are solving a unique problem, one that s mostly untouched by other e-commerce players. We are designing e-commerce for the Next Billion Users the users from Tier-2+ markets who are new to the e-commerce landscape and have (almost) never transacted online before. Our category teams are as diverse as our users. We act from the frontlines to actively drive the mission of democratizing internet commerce for everyone. Our teams are composed of Senior Business Managers/Business Managers, Associate Business Managers, and a group of Key Account Managers and Business Development Executives. We interact with the Category Marketing team, Product team, User Growth and Operations team on a routine basis. All of us work hard together to ensure that we continue to be the No. 1 shopping destination for Bharat users. We are passionate, energetic individuals who work like entrepreneurs. Moving at 10x speed is where we excel. If you want a high-powered career growth and supportive work environment, we are the right destination for you! About the Role We are looking for a dynamic, self-starting, result-oriented Category Associate who can display strong execution skills along with high analytical horsepower to wade through complexity and ambiguity. As Category Associate, you will be required to make and execute a plan for scaling up suppliers businesses, expanding selection, and ensuring best prices for your category. You will also play an instrumental role in enabling the entire team to deliver bar-raising performance every time. If you love solving problems, enjoy being in leadership roles, and have a zeal for setting up and improving business processes, do send us your application. We promise you an excellent work culture, a high learning environment, and a very exciting professional journey! What you will do Mentor, motivate & provide direction to a team of Key Account Managers Advocate Meesho s values & principles across your team Work with central teams to ensure best selection, affordable prices, and high discovery on the platform Develop robust processes for smooth execution of all critical tasks Define KRAs & goals for the team and individuals. Compile and evaluate metrics for success assessment at individual and team level Communicate priorities and key decisions with stakeholders using excellent verbal, written & visual communication skills Drive higher supplier engagement and quick problem resolution through effective team guidance Build processes to drive higher efficiency and better outcomes Influence strategic decisions across the organization by earning the trust of stakeholders Use quantitative & qualitative data effectively to drive decisions & measure success Help define category short & medium-term goals, execution roadmap and team priorities aligned with company strategy What you will need BE/B.Tech from premium institutes 1 3 years of overall experience with at least 1+ years in leading teams Experience with startups and fast-paced environments is an added advantage Experience in using Microsoft Excel to analyze data and build POV Demonstrated ability to think strategically and tactically Deep understanding of business and customers Excellent verbal and written communication skills Proven ability to lead the team and manage relevant stakeholders About Us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform; we're your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and they've made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone Meesho (Meri shop) started with a single idea in mind to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping into the company s massive customer base, state-of-the-art tech infrastructure, and pan-India logistics at the lowest cost. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation have enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements monetary, non-monetary, tangible and intangible in nature. Our 11 guiding principles, or "Mantras," influence everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We provide market-leading compensation both cash and equity-based tailored to job roles, experience and skills. Our MeeCare Program supports holistic wellness with medical insurance, telehealth, wellness events, gym discounts, and more. We also offer generous leave policies, parental benefits, retirement options, and learning & development support to ensure a healthy work-life balance. Qualification : BE/B.Tech from premium institutes

Job Title: Lead Software Engineer Mode of Work: Work from Office Qualification: Bachelor s or Master s degree in Computer Science, Software Engineering, or a related field Experience: 7 to 10 years of software development experience, with at least 2 years in a leadership role. Seniority Level: Mid-Senior level Employment Type: Full-time Job Function: Engineering Location: Bangalore Department: Information Technology The Position We are looking for a skilled and motivated Lead Software Engineer to join our team. In this role, you will oversee technical strategy, guide project execution, and mentor a team of engineers to build scalable and high-performing software solutions. You will collaborate closely with cross-functional teams to align technical goals with business objectives and ensure timely delivery of projects. Skills and Requirements Technical Leadership: Define and drive technical standards and best practices. Oversee architectural decisions and ensure solutions are robust, scalable, and secure. Lead design discussions and code reviews to uphold quality standards. Project Management: Plan and execute software projects, managing timelines, risks, and resources. Ensure alignment between technical teams and product management to deliver high-impact solutions. Collaborate with stakeholders to gather requirements, define scope, and manage deliverables. Team Mentorship and Development: Mentor and guide junior and mid-level engineers, fostering growth and skill development. Promote a collaborative and inclusive team culture, encouraging knowledge sharing. Conduct regular performance evaluations, providing constructive feedback and goal-setting. Hands-on Development: Guide in the development process by writing clean, maintainable, and efficient code with sufficient tests. Create a quality management plan and ensure all deliverables are sufficiently tested. Troubleshoot and resolve technical issues, ensuring high availability and reliability of solutions. Keep up to date with industry trends and incorporate new technologies as appropriate. Continuous Improvement: Identify and implement process improvements to enhance productivity and efficiency. Drive adoption of CI/CD practices and automation to streamline development and test workflows. Support DevOps practices to facilitate smooth deployment and maintenance of applications. Technical Skills Proficiency in React JS, Java, React Native, etc and experience in cloud platforms such as AWS, Azure, GCP, etc. and knowledge of system architecture. Soft Skills Strong problem-solving abilities, excellent communication skills, and the ability to inspire and lead a team. Preferred Qualifications Experience in agile software development methodologies. Previous experience in managing distributed or remote teams. Strong understanding of database design, management and optimization techniques. Familiarity with Project Management tools. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or a related field

Job Title: Quality Analyst Outbound Retention Location: Bengaluru Job Summary The Quality Analyst is responsible for ensuring the quality of the outbound retention process. This role involves monitoring sales calls, analyzing performance data, and providing feedback to improve sales performance and customer satisfaction. You will work closely with the sales team to identify areas of improvement, develop training programs, and streamline processes to ensure continuous improvement in sales effectiveness. Key Responsibilities Quality Monitoring: Monitor and evaluate outbound sales calls to ensure adherence to company policies and quality standards. Conduct regular audits of sales processes and transactions to identify gaps and recommend corrective actions. Ensure all team members maintain high standards of sales practices and compliance. Data Analysis: Analyze sales data to identify trends, patterns, and areas for improvement in retention strategies. Prepare detailed reports on sales performance, call quality metrics, and overall team progress. Utilize data insights to provide actionable recommendations to management for performance improvement. Feedback and Training: Provide constructive feedback to sales representatives based on call evaluations and performance metrics. Develop and deliver training programs to improve sales techniques, product knowledge, and call handling. Assist in the creation and maintenance of training materials and quality guidelines for the sales team. Process Improvement: Collaborate with the sales team to streamline sales processes and improve overall efficiency. Implement best practices and continuous improvement initiatives to enhance sales effectiveness and retention rates. Stay updated on industry trends to keep the sales process competitive and aligned with current standards. Compliance and Documentation: Maintain accurate and up-to-date records of all quality assessments, feedback, and training sessions. Develop and update documentation related to quality standards, policies, and procedures to ensure consistency in the sales process. Qualifications Education: HSC or Graduate (Preferred). Experience: Experience in quality assurance, sales, or customer service is an advantage. Knowledge of quality monitoring tools, CRM software, and sales processes. Key Skills: Analytical Thinking: Ability to analyze and interpret sales data to identify trends and areas for improvement. Effective Communication: Strong interpersonal skills to provide clear and actionable feedback to sales representatives. Training and Coaching: Experience in developing and delivering training programs to improve team performance. Sales Process Knowledge: Understanding of sales techniques, customer retention strategies, and call handling processes. Time Management: Strong organizational skills to handle multiple tasks and prioritize effectively. Proficiency with Tools: Experience with CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).

Job Title: Sales Trainer Location :Bengaluru Job Summary The Sales Trainer is responsible for delivering new hire training, process training, and sales training in the banking or insurance domain. This role involves conducting refresher training, performing training needs analysis (TNA), and collaborating with quality and operations teams for process improvement. The trainer should be able to execute training tasks on short notice, contribute to the learning process, and ensure that team members meet performance standards. Responsibilities Conduct Training: Deliver new hire training (NHT) and process-specific training. Sales Training: Conduct sales training sessions in banking or insurance domains. Refresher Training: Facilitate refresher training to ensure ongoing development and performance improvements. TNA & TNI: Conduct Training Needs Analysis (TNA) and Training Needs Identification (TNI) sessions. Monthly Activities: Complete monthly cyclic activities, including fresher training, monthly tests, and call monitoring. Learning Requirements: Identify training needs and understand learning requirements for continuous improvement. Process Improvement: Liaise with Quality and Operations teams to identify and execute process improvement plans. Quick Execution: Ability to execute training tasks and assignments on short notice. Contribute to Improvement: Demonstrate a keen interest in delivering and contributing towards process improvement efforts. Eligibility Minimum of 2 years' experience within BPO. Experience in sales or insurance training (banking experience preferred). Excellent written and verbal communication skills. Proficiency in MS-Excel. Strong command of the English language is required.

Senior Payroll & HR Generalist About Saviynt Saviynt is an identity authority platform designed to power and protect organizations in an era of digital transformation. As businesses navigate growing cybersecurity risks, our Enterprise Identity Cloud provides unparalleled visibility, control, and intelligence, ensuring secure, right-time access to critical digital resources. To support our rapid growth, we are seeking a Senior Payroll & HR Generalist who will play a crucial role in managing payroll processes and leading key HR functions across India and the APAC region. This role will report to the Manager of Payroll & Benefits in El Segundo, CA, for functional leadership, while working locally under the Director of Human Resources in Bengaluru. Key Responsibilities Payroll Processing & Compliance Lead and oversee end-to-end payroll processing for India & APAC, ensuring accuracy, compliance, and timeliness. Partner with global payroll and accounting firms to maintain adherence to international payroll regulations and best practices. Review, analyze, and verify payroll reports to identify discrepancies, processing necessary adjustments before final payroll completion. Maintain and update payroll data in Namely, ensuring accurate records of compensation, tax deductions, bonuses, and statutory contributions. Manage payroll-related benefits administration, including incentives, tax deductions, and retirement contributions. Ensure compliance with local labor laws, taxation policies, and company policies related to payroll and employee benefits. HR Generalist & Employee Lifecycle Management Oversee employee leave management, ensuring accurate payroll integration and compliance with company policies. Support onboarding & offboarding processes, ensuring payroll setup for new hires and accurate termination payouts. Assist with performance evaluation processes, ensuring payroll-related adjustments align with compensation changes. Serve as an HR compliance expert, advising on payroll-related labor laws, employment verification, and unemployment claims. Audit, Reporting & Strategic HR Support Prepare payroll-related reports for internal and external stakeholders. Facilitate payroll audits, pension filings, and employment verifications. Work closely with HR leadership to align payroll strategies with business objectives and drive process improvements. Provide administrative, operational, and strategic HR support to the Director of Human Resources as needed. What You Bring Extensive experience in payroll processing & HR functions for India & APAC. Strong knowledge of Indian labor laws, payroll compliance, taxation, and employee benefits. Experience in full-cycle payroll management, including incentives, tax deductions, and statutory contributions. Proficiency in HR systems (Namely or similar HRIS platforms). Ability to manage audits, reports, and compliance documentation. Excellent attention to detail, problem-solving, and analytical skills. Strong collaboration skills with global teams across multiple time zones. Preferred (Good to Have): Experience working in a fast-paced SaaS or tech-driven organization. Knowledge of global payroll practices (US, Europe, APAC, etc.). Work in a high-growth, technology-driven environment that values innovation and excellence. Gain exposure to global payroll processes & HR strategies in a dynamic, fast-paced setting. Collaborate with industry-leading professionals and contribute to scaling a global workforce. Competitive compensation, benefits, and professional growth opportunities. Saviynt is an equal opportunity employer. We welcome applicants from diverse backgrounds and do not discriminate based on race, gender, age, disability, or veteran status. If you re a detail-oriented payroll and HR expert passionate about process efficiency and compliance, we d love to hear from you!

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

About the Role: The Client Service Manager - Operations Support acts as a vital link between our Client Service Managers (CSMs) and internal Operations teams, ensuring seamless handling of client retirement plan queries. This role is accountable for maintaining departmental quality and adherence to time standards. Responsibilities also include staff training and mentoring, quality assurance, MIS & reporting, performance management, staffing projections, and driving process improvements. Key Responsibilities: Operational Expertise: Deep understanding of Plan Service Center, Partner Link, plan design, and CSM workflow. Oversees activities to ensure smooth interdepartmental collaboration and delivery. Provides hands-on support and troubleshooting as needed. Team Leadership & Development: Mentors, coaches, and develops team members through regular one-on-one meetings and ongoing feedback. Conducts performance evaluations, addresses staff issues, and recommends salary adjustments and promotions. Assesses staffing needs, conducts interviews, and makes hiring decisions. Performance Management & Reporting: Monitors team and individual performance against goals, quality targets, and service level expectations. Tracks key metrics, prepares management reports, and identifies trends. Manages employee records and reports findings to management. Escalation Management: Handles escalated issues from representatives, clients, and participants. Identifies trends in escalations and proactively implements solutions. Collaboration & Communication: Works closely with CSMs to identify potential middle-office tasks and bring segment-level work to the team. Participates in regular governance meetings with CSM teams. Communicates effectively with partners via calls and emails. Process Improvement: Leads process deep dives, reviews, controls, and audits. Develops and implements process improvements for efficiency and cost-effectiveness. Manages logical access reviews with partners for new task types. Training & Documentation: Designs SOPs, training plans, and assessments. Delivers training and builds domain expertise within the team. Project Management: Monitors deliverables, tracks activity, escalates issues, publishes progress reports and dashboards, and recommends action plans. MIS & Reporting: Provides timely and accurate reporting on key business metrics. Expert in MS Excel and other Microsoft Office Suite programs. Qualifications: 9-12 years of overall experience, with a minimum of 6 years in the 401(k) industry. Cross-functional experience in teams such as loans, enrollment, payroll support, compliance, and audit is essential. Strong knowledge of ERISA, DOL, and applicable IRS regulations related to retirement plans. Excellent interpersonal, customer service, and communication skills (oral and written). Proactive, solution-oriented approach and collaborative mindset. Proven ability to meet deadlines and prioritize client service. Proficient in Microsoft Office Suite, especially Excel. Experience as an MIS expert is required. Hands-on experience leading teams within the retirement domain (Implementation, Money In, Money Out, Account Resolutions, etc.) is a plus. SPARK/AASPA certification and LSS certification are preferred. Experience working on process-related projects is a plus. Bachelor's Degree required. Equal Opportunity Employer: We are an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive 1 consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. Qualification : Bachelors Degree is a must.

About Unilever Unilever is a purpose-driven global company, impacting the lives of billions of consumers in over 190 countries. Our brands are trusted and loved, and we are committed to making sustainable living commonplace. We believe that doing business the right way drives both performance and positive societal change. At Unilever, we foster an inclusive, flexible, and collaborative work environment. Your career here will be a dynamic journey where you can shape your future while contributing to a better business and a better world. About UniOps Unilever Operations (UniOps) is the technology and business services engine of Unilever, providing seamless enterprise solutions across 190+ locations. Through strategic sourcing, digital transformation, and operational excellence, UniOps enables Unilever to drive growth, enhance efficiency, and stay future-fit. Role Overview As a Global Security Specialist Workplace Experience and Operations, you will be responsible for designing, implementing, and managing security programs across Unilever s global workplace facilities, passenger fleet, and travel service lines. Your role will ensure compliance with global security and safety standards while driving innovation, operational excellence, and best practices in risk management. You will collaborate with internal stakeholders, suppliers, and cross-functional teams to enhance safety measures, leverage emerging security technologies, and maintain a secure environment for Unilever employees. Key Responsibilities Security Strategy & Technology Integration Develop and implement a comprehensive security and safety strategy aligned with Unilever s global objectives. Design roadmaps for security transformation initiatives and oversee their execution. Evaluate and integrate advanced security technologies to enhance workplace safety. Support the deployment of digital solutions to meet security and safety goals. Stay updated on emerging security trends and recommend innovative measures. Cross-Functional Collaboration Partner with internal teams, including HR, IT, Legal, and Facility Management, to create a holistic security framework. Communicate security initiatives and updates to senior leadership. Drive change management efforts, providing training and awareness programs. Operational Safety & Security Assist in implementing the Workplace Sustainability, Safety & Security (WPS) work plan. Ensure compliance with Unilever s global safety policies for travel, events, and fleet management. Monitor security and safety performance, infrastructure, and service delivery. Proactively manage risks and escalations, working closely with regional teams. Vendor & Budget Management Manage relationships with key security and safety suppliers. Oversee contract negotiations, service level agreements, and supplier performance evaluations. Develop and manage the budget for security initiatives, ensuring efficient resource allocation. Capability Building & Compliance Embed a strong security culture across Unilever s workplace services, impacting 800+ employees and 6,000+ contractors. Ensure consistent implementation of global security frameworks and standards. Organize training programs, workshops, and capability-building initiatives. Champion a culture of security awareness to minimize risks and incidents. Qualifications & Experience Education: Bachelor s degree in Engineering, Science, Business, or a related technical discipline. Experience: Strong background in security and safety management within a corporate, FMCG, or facility management environment. Knowledge of occupational safety regulations and industry best practices. Experience in managing large-scale security projects and implementing digital security solutions. Familiarity with change management and training initiatives. Skills: Strong communication and stakeholder management skills. Ability to work in a fast-paced, global environment. Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook). Project management experience with a strategic mindset. Fluency in English; additional language skills are a plus. Why Join Unilever? At Unilever, we celebrate diversity and inclusion, ensuring that all employees regardless of race, gender, age, disability, or background have the opportunity to thrive. Join us to challenge conventional ideas, drive innovation, and make a meaningful impact on business and society. Qualification : Bachelors degree (Engineering / Science / Business / Technical discipline).