Transfer Learning Jobs in Bengaluru

Manager, Go-To-Market Technology Support Operations Location: Bengaluru Department: Business Technology Experience: 7+ Years (3+ Years in Team Management) Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower everyone to securely use any technology, on any device, from anywhere. Our Okta and Auth0 platforms offer secure access, authentication, and automation placing identity at the center of digital transformation and enterprise growth. At Okta, we celebrate diverse backgrounds and experiences. We aren t looking for a perfect fit we re looking for lifelong learners and collaborative builders who bring unique value to our mission. The Team You ll join the Go-To-Market Technology (GTM) group, a core part of Okta s Technology, Data & Intelligence (TDI) organization. Our vision: drive clarity, collaboration, and accountability across the business while enabling Okta s scale and growth. The Opportunity We re seeking a Manager to lead the Support Operations team within GTM Technology. This role is responsible for managing a team of Business Application Administrators who oversee and support Okta s GTM systems primarily Salesforce and integrated applications such as ServiceNow. You ll drive operational excellence, oversee capacity and team development, collaborate cross-functionally, and shape how we support and optimize business applications across global teams. This role requires strong technical know-how of the Salesforce ecosystem, a mindset for process improvement, and a passion for team leadership. Key Responsibilities Leadership & Talent Development Build, motivate, and lead a high-performing team of application administrators. Hire, mentor, and retain top talent through coaching and career planning. Provide direction and remove roadblocks to help your team succeed. Foster a culture of learning, ownership, and continuous improvement. Performance Management Define and track KPIs and team SLAs with a data-driven approach. Manage team resource allocation and adjust capacity as business needs shift. Identify skill gaps and build plans to address them through training and hiring. Cross-Functional Collaboration Partner with Technology, Data & Intelligence, Security, and Compliance teams to align on goals and incident handling. Refine escalation processes for a smooth support experience across teams. Enable seamless knowledge transfer and system supportability. Documentation & Automation Lead the Knowledge Centered Service (KCS) program to scale AI-driven incident resolution. Standardize and document team operational processes to ensure consistency. Security & Compliance Ensure all Salesforce and GTM-related systems adhere to compliance standards such as SOX. Collaborate with security teams on audits and mitigation of any vulnerabilities. Innovation Culture Encourage your team to explore new Salesforce, AI, and automation features. Promote participation in hackathons, Fix-It Days, and other internal innovation initiatives. Required Skills & Experience 7+ years of experience in IT or Business Systems, with 3+ years in people management. Strong expertise in the Salesforce ecosystem and enterprise SaaS tools like ServiceNow, Jira, Confluence, GitHub, etc. Experience in a global or multi-location work environment. Deep understanding of compliance (e.g., SOX) and security standards for enterprise applications. Proven track record of driving team innovation and embedding modern tools or practices. Excellent interpersonal and executive-level communication skills. Strong organizational, time management, and stakeholder alignment capabilities. Ability to remain resilient under pressure and maintain focus on team and business outcomes. High Impact: Drive global support operations for a critical business tech stack. Empowered Leadership: Build and lead a team in a dynamic, growing organization. Growth & Learning: Opportunities for continuous development in technology, leadership, and innovation. Collaborative Culture: Join a purpose-driven company with a human-centered, inclusive team culture. Join Us Become a part of a company that s transforming how identity is secured and scaled in the modern world. At Okta, you belong.

NetSuite Staff Analyst Record-to-Report (R2R) Location: Bengaluru Department: Business Technology / Finance Systems Experience: 10+ Years (8+ Years in NetSuite with R2R Focus) Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower everyone to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation tools putting identity at the heart of enterprise security and growth. We value diversity of thought, experience, and background. We re not looking for someone who checks every box we re looking for lifelong learners and collaborative contributors who will strengthen our mission. The Opportunity As a NetSuite Staff Analyst, you will play a critical role in optimizing and maintaining Okta s financial systems with a strong focus on Record-to-Report (R2R) operations. This includes ensuring system integrity, supporting audits, improving month-end close processes, and enabling seamless integrations between NetSuite, Oracle Fusion Cloud, and other enterprise systems. You ll be the go-to SME for NetSuite s R2R functionality and collaborate across Finance, IT, and external partners to drive process excellence and scalability. Key Responsibilities System Expertise & Operations Act as a subject matter expert (SME) for NetSuite R2R functionality (GL, Fixed Assets, Subledger, Consolidations). Maintain workflows, dashboards, saved searches, and configurations to enhance system performance and compliance (SOX, GAAP). Close & Reporting Support Support month-end, quarter-end, and year-end close by ensuring timely reconciliations, reporting, and intercompany transaction accuracy. Partner with Accounting and Finance teams to streamline journal entries, accruals, and fund transfers. Projects & Integrations Lead or participate in NetSuite R2R-related projects: migrations, upgrades, process improvements, and integrations. Collaborate on integrations with tools like Boomi, Celigo, or other middleware. Stakeholder Collaboration Work with Finance, IT, and external vendors to resolve NetSuite issues, support users, and evaluate automation opportunities. Train users on NetSuite functionality and document best practices. Audit & Compliance Support internal and external audit processes by maintaining data integrity, system configurations, and traceability. Generate required audit reports and ensure all financial controls are in place. Required Qualifications Bachelor s degree in Accounting, Finance, Information Systems, or related field. 10+ years in financial systems technology, with 8+ years of hands-on NetSuite experience in R2R. Deep understanding of GAAP/IFRS, general ledger structure, and financial reporting. Proficiency in SuiteScript, Saved Searches, Dashboards, and NetSuite customization. Strong experience with: Account Reconciliations Fixed Assets Intercompany Accounting Multi-Currency Fund Transfers and Accruals Solid understanding of Scrum/Agile methodologies. Excellent communication and stakeholder management skills. Preferred / Nice-to-Have Skills Experience with integration tools such as Boomi, Celigo, or similar. Exposure to Oracle Fusion Cloud, SAP, or other ERP systems. Familiarity with related systems like Workday, Coupa, Avalara, and Salesforce. Work at the Core of Identity Security Help build and maintain mission-critical financial systems for a global tech leader. High-Growth Environment Join a rapidly scaling company and make a measurable impact. Cross-Functional Collaboration Work with global teams across Finance, Technology, and Compliance. Innovate in Finance Technology Leverage GenAI and automation to optimize reconciliation and reporting workflows. Inclusive Culture Thrive in a team that celebrates learning, diverse perspectives, and continuous growth. Join Okta, where your technical expertise in NetSuite and financial systems directly powers enterprise innovation and scale. Qualification : Bachelors degree in Accounting, Finance, Information Systems, or related field

Job Title: Process Trainer Location: Bengaluru Company: Altisource (NASDAQ: ASPS) About Us At Altisource, we build world-class technology and services for the mortgage and real estate industries. We partner with 7 of the top 10 U.S. mortgage servicers, operate one of the top three real estate auction platforms, and manage a cooperative representing over 15% of the $1.8 trillion U.S. originations market. If you're detail-oriented, have a passion for training, and thrive in a dynamic environment this is your chance to make an impact. Position Summary We re looking for a skilled and enthusiastic Learning & Development (L&D) Trainer to design and deliver high-impact training programs for our mortgage services teams. You'll play a key role in enhancing performance, improving process understanding, and supporting business goals. This role is based in Bengaluru, and will begin in a remote capacity. Key Responsibilities Training Delivery & Facilitation Conduct engaging and effective training sessions (both live and online). Facilitate new hire, cross-skill, refresher, and floor support training. Apply adult learning principles and creative training techniques for maximum retention. Instructional Design & Content Development Design customized L&D programs based on business needs. Collaborate with SMEs to convert expert content into learner-friendly modules (classroom, online, or blended formats). Performance Tracking & Coaching Monitor trainee performance during training programs; provide developmental feedback and coaching. Use data analytics to identify training gaps and conduct refresher sessions as needed. Process Management & Improvement Maintain training records and data as per L&D protocols. Drive process improvements in training delivery and program management. Support training-related documentation and project timelines. Stakeholder Collaboration Liaise with business and L&D teams to ensure alignment on processes, scheduling, and training requirements. Attend and implement insights from any client-mandated training sessions. Mentorship & Team Support Mentor junior trainers in facilitation, content delivery, and training methodologies. Participate in on-the-job training support and floor activities. Qualifications & Skills Experience: Minimum 2+ years of experience in U.S. Mortgage Origination Services. Education: Graduate in any discipline. Technical Skills: Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Communication: Strong verbal and written communication skills. People Skills: Good interpersonal and team management capabilities. Business Acumen: Ability to analyze data, recommend process changes, and collaborate with global teams. Work Ethic: Strong organizational skills with the ability to meet tight deadlines and handle pressure. A collaborative and growth-oriented work environment. Opportunities to make a meaningful impact through training and development. A chance to work with one of the leading names in the mortgage and real estate industry. Join us and be a part of transforming how homes are bought, sold, and managed. Qualification : Graduate in any discipline

Technical Trainer Location: Bengaluru, Karnataka, India Full-time Partially remote About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen but with our cutting-edge ColorTokens Xshield platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave : Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world s impactful organizations be it a children s hospital, or a city, or the defense department of an entire country. Job Summary We are seeking a highly skilled and motivated Technical Trainer to design, deliver, and evaluate training programs that empower our customers, partners, and employees to effectively use ColorTokens' products and solutions. The ideal candidate will have a strong technical background, excellent communication skills, and a passion for teaching and knowledge-sharing. Key Responsibilities Training Delivery: Conduct engaging and effective technical training sessions (classroom, virtual, or on-site) for customers, partners, and internal teams. Curriculum Development: Create, update, and maintain technical training content, including presentations, manuals, e-learning modules, and labs, tailored to various audiences. Product Expertise: Gain in-depth knowledge of ColorTokens' products, including zero-trust frameworks, endpoint protection, and cloud security solutions. Certification Programs: Design and implement certification programs to validate the technical competencies of trainees. Feedback and Improvement: Gather feedback from training participants to continuously improve training programs and materials. Collaboration: Work closely with product, engineering, and customer success teams to ensure training content is aligned with the latest product updates and best practices. Knowledge Repository: Develop and maintain a repository of technical resources, FAQs, and troubleshooting guides. Required Skills and Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 5 to 10 years of experience as a Technical Trainer, Product Trainer, or similar role in the IT or cybersecurity domain. Strong understanding of cybersecurity concepts, zero-trust architecture, cloud computing, and endpoint protection technologies. Proven experience in creating and delivering technical training content for diverse audiences. Excellent communication, presentation, and interpersonal skills. Hands-on experience with tools like Learning Management Systems (LMS) and e-learning platforms. Certifications such as CompTIA Security+, CISSP, or similar are a plus. Preferred Qualifications Experience working with SaaS-based cybersecurity products. Proficiency in scripting languages like Python or PowerShell for technical demonstrations. Familiarity with public cloud platforms (AWS, Azure, GCP). Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Role: Senior Analyst Data Engineering Location: Bengaluru, Karnataka, India Experience: 3 6 Years Employment Type: Permanent, Full-Time About the Role We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you. Key Responsibilities Design, develop, and implement machine learning models to solve complex business challenges. Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities. Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards. Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases. Collaborate with business and technical teams to translate requirements into robust data engineering solutions. Guide junior data professionals and foster a culture of learning and innovation. Communicate analytical findings clearly to non-technical stakeholders. Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies. Key Skills & Technologies Machine Learning & AI Techniques: Supervised & unsupervised learning, deep learning, neural networks Reinforcement learning, decision trees, random forests, clustering NLP, computer vision, GANs, transfer learning Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly Programming Languages & Libraries: Python (essential), R, SQL TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy Databases & Data Management: Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Big Data Technologies: Apache Spark, Hadoop

Sales Compensation Analyst Location: Bangalore, India About the Role Rubrik is seeking a detail-oriented Sales Compensation Analyst to join our global team. In this role, you will administer and manage sales compensation plans, analyze financial data, streamline commission processes, and ensure alignment with business objectives. Reporting to the Manager Global Sales Compensation, you will play a critical role in driving accuracy and efficiency in sales incentives across Rubrik s salesforce. Key Responsibilities Sales Compensation Administration: Manage and maintain sales incentive compensation processes including MBOs, commissions, and SPIFF payouts. Ensure timely and accurate payouts while maintaining compliance with compensation policies for terminations, new hires, transfers, and retroactive adjustments. Process Improvement & Collaboration: Partner with HR, Finance, and Commission Accounting to align field coverage and compensation plans. Identify, streamline, and automate commission processes for improved efficiency. Provide training and support to sales teams on compensation plans and structures. Collaboration and Stakeholder Support: Deliver responsive support to Sales, HR, and Finance teams regarding compensation-related queries and initiatives. Proactively identify opportunities to enhance compensation processes and tools. Planning, Reporting & Documentation: Contribute actively to the annual operating planning process related to sales compensation. Support ad hoc reporting, analytics, and special projects as required. Maintain thorough documentation and internal controls over compensation processes. Experience and Skills Required 3+ years of experience in Sales Compensation, Sales Operations, Finance, or related functions. Strong knowledge of sales compensation plan design, principles, and best practices. Advanced proficiency in Microsoft Excel or Google Sheets for complex modeling and analysis. Excellent communication skills, both written and verbal. Self-motivated with the ability to work independently and collaborate across teams. Experience with AI or machine learning in data analysis and forecasting is a plus. Tools and Technologies Proficient with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Experience with Xactly or similar sales compensation platforms highly preferred. Familiarity with Salesforce is an advantage. Collaborative and inclusive work culture. Opportunities to work on high-impact projects supporting a global sales team. Career growth and continuous learning in a dynamic tech environment. If you are passionate about sales compensation analytics and want to thrive in a fast-paced global organization, we want to hear from you! Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we empower organizations to achieve business resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud secures data across enterprise, cloud, and SaaS applications helping businesses uphold data integrity, availability, and rapid recovery.

Data Privacy Compliance Specialist Location: Bangalore, India Office About the Team Rubrik s Legal Team is at the heart of our mission to secure the world s data. We provide essential guidance across contract management, intellectual property, employment law, privacy, trade compliance, and litigation. Our team thrives on open debate, innovation, and ownership, contributing to building an iconic company. Rubrik is growing rapidly and evolving join us to be unstoppable, together. About the Role Rubrik is looking for a Data Privacy Compliance Specialist to strengthen and manage our global privacy program. The ideal candidate will have hands-on experience with privacy management accountability frameworks (PMAF), compliance auditing, and implementing data protection practices aligned with evolving global regulations. This role requires working collaboratively across procurement, engineering, product management, legal, and information security teams worldwide to maintain compliance and mitigate privacy risks. What You ll Do Conduct internal and coordinate external privacy audits as needed. Assess and monitor privacy compliance of third-party vendors and service providers. Continuously review data handling practices to ensure compliance with internal policies and global regulations. Develop, maintain, and enforce data privacy policies and procedures aligned with legal requirements and business objectives. Maintain detailed documentation to demonstrate compliance and accountability. Manage and update an inventory of personal data processing activities, including data flows and classifications. Oversee cross-border data transfer mechanisms ensuring adherence to applicable privacy laws. Lead internal privacy reviews, supporting engineering and data governance teams with data mapping, documentation, and privacy impact assessments. Collaborate with teams to implement privacy risk mitigation solutions while ensuring regulatory adherence. Develop and deliver privacy training to internal stakeholders to raise awareness and ensure compliance with privacy responsibilities. Experience You ll Need Minimum 3+ years of experience in data privacy compliance, preferably with exposure to Privacy Management Accountability Frameworks (PMAF). Strong knowledge of global data protection regulations such as GDPR, CCPA, CPRA, and relevant industry standards. Proven expertise in data mapping, risk assessments, and conducting privacy audits. Excellent communication and stakeholder engagement skills across diverse teams. Certifications such as CIPP-E, CIPM, CIPT, CISSP preferred; Juris Doctor (JD) is a plus. Skills Required Deep understanding of IT, SaaS, and cloud provider compliance challenges. Solid knowledge of information security principles and best practices. Proficiency with privacy management tools like OneTrust for data mapping and assessment automation. Basic understanding of cookies and marketing technology systems. Ability to clearly articulate complex privacy and security concepts to both technical and non-technical audiences. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data with Zero Trust Data Security . Our platform leverages machine learning to secure enterprise, cloud, and SaaS data, helping organizations ensure data integrity, availability, risk monitoring, and rapid recovery from cyberattacks and operational disruptions.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

Join Us in Revolutionizing the Data Storage Industry We re at the forefront of a transformative tech movement, fundamentally reshaping the data storage industry. At Pure Storage, you ll have the chance to lead with innovative thinking, grow alongside us, and collaborate with the smartest team in the industry. If you re ready to make a lasting impact and seize boundless opportunities, come join us! SHOULD YOU ACCEPT THIS CHALLENGE... As an Instructional Designer, you will create high-impact learning experiences that empower our partners. This role is critical in designing, developing, and delivering training programs that provide our partners with the knowledge and skills necessary to succeed with our products, solutions, and go-to-market strategies. Working as part of the GTM & Partner Experience team, you will design scalable, engaging learning solutions that drive partner adoption, sales effectiveness, and technical expertise. You'll collaborate cross-functionally with Subject Matter Experts (SMEs), partner managers, sales, and technical teams to ensure the training aligns with business goals and partner needs. In This Role, You Will: Develop structured learning courses and paths tailored to various partner personas (e.g., sales, technical sales, marketing, operations, executives), ensuring they have the right knowledge to drive business success. Design and develop effective and engaging learning modules using Articulate 360, incorporating videos, simulations, and instructional best practices. Convert complex content into clear, concise, and engaging training materials, such as e-learning modules, instructor-led training, job aids, videos, infographics, simulations, and assessments. Collaborate with SMEs to gather and refine content that aligns with learning objectives. Apply instructional design models (e.g., ADDIE, SAM), gamification, and interactive learning strategies to create impactful experiences. Utilize our Intellum LMS (Learning Management System) to publish, track, and manage learning content. Develop assessments to measure learning outcomes and knowledge retention. Continuously evaluate training effectiveness using metrics, data, and partner feedback to assess engagement, course completion rates, and learning impact, iterating on content as needed. Stay updated on trends in instructional design, e-learning technologies, and gamification to enhance training programs. What You ll Need to Bring to This Role: Basic Qualifications: Bachelor s or Master s degree in Instructional Design, Learning & Development, Education, or a related field. 12+ years of experience in instructional design, curriculum development, or e-learning development. Proficiency in e-learning authoring tools (Articulate Storyline, Rise, Captivate, Camtasia, Vyond, etc.) is a plus. Familiarity with Intellum LMS or similar learning platforms, and SCORM-compliant content. Experience designing training programs for partners, channel sales, or reseller networks. Strong writing, communication, and project management skills. Ability to translate complex technical and sales topics into engaging, digestible learning experiences for partners. Solid understanding of adult learning principles, instructional methodologies, and training needs analysis. Excellent project management skills, attention to detail, and the ability to meet deadlines. What You Can Expect from Us: Pure Innovation: We celebrate those who think critically, embrace challenges, and aspire to be trailblazers. Pure Growth: We provide the space and support for you to grow alongside us and contribute meaningfully. Pure Storage has been recognized as one of Fortune's Best Large Workplaces in the Bay Area, Fortune s Best Workplaces for Millennials, and certified as a Great Place to Work. Pure Team: We build each other up, setting aside egos for the greater good. Additionally, we understand the importance of a healthy work-life balance and offer various perks, including flexible time off, wellness resources, and company-sponsored team events. For more details, check out purebenefits.com. Qualification : Bachelors or Masters degree in Instructional Design, Learning & Development, Education, or related field.

FalconX is a pioneering team of operators, investors, and builders dedicated to redefining institutional access to the cryptocurrency markets. Sitting at the nexus of traditional finance and cutting-edge technology, FalconX tackles the industry's biggest challenges. The digital asset space is complex and fragmented, offering limited products and services that cater to the sophisticated trading strategies and liquidity requirements common in conventional financial markets. FalconX delivers a comprehensive, all-in-one solution for institutional clients supporting their digital asset strategies from inception to scale. Acting as the connective tissue for the ecosystem, we empower clients to seamlessly navigate the ever-evolving crypto landscape. Role: Analyst/Associate - Finance Experience: 3-8 Years Qualification: Chartered Accountant (CA) or CPA Key Responsibilities Accounting & Financial Reporting Execute day-to-day accounting, bookkeeping, and reporting as per relevant GAAP standards (US GAAP, IndAS, IFRS). Prepare and review monthly, quarterly, and annual financial statements for both standalone and consolidated entities. Assist in handling complex technical accounting matters including Revenue Recognition, Consolidation, Stock Options, Business Combinations, MTM accounting, and more. Legal Entity Management Manage jurisdiction-specific accounting, reporting, and compliance for assigned legal entities. Monitor and settle inter-company balances, and oversee transfer pricing arrangements. Operations & Reconciliation Develop an in-depth understanding of FalconX s trading and settlement processes. Support the Trade Operations & Settlements team by performing daily, weekly, and monthly reconciliations and attestation procedures. Process & Control Framework Assist in establishing and improving internal processes, policies, procedures, and control frameworks. Collaborate with external auditors, the audit committee, and other internal/external stakeholders during audits and reviews. ERP & Systems Expertise Leverage hands-on knowledge of ERP systems (such as NetSuite, Oracle, SAP), ensuring system integrity and efficiency across finance and reporting processes. What Success Looks Like Build robust in-house accounting and reporting capabilities to support FalconX s growth. Streamline finance processes to ensure real-time, accurate financial information for stakeholders. Effectively manage legal entities across jurisdictions, ensuring all regulatory, statutory, tax, and management reporting is timely and compliant. Collaborate closely with trading and trade operations teams, proactively aligning financial processes with business dynamics. Grow into a Subject Matter Expert (SME) in financial, regulatory, and operational aspects of crypto trading and digital assets. Balance multiple responsibilities, adapting to new challenges while maintaining high-quality outcomes. Required Qualifications & Skills Professional Degree: Chartered Accountant (CA) or CPA (mandatory). Experience: 3-8 years in relevant industries Banking, Broker-Dealer, Trading, or FinTech. Legal Entity Management: Proven experience handling end-to-end deliverables of legal entities, including transfer pricing arrangements. Expertise in IFRS, US GAAP reporting standards, with practical experience applying these standards. Proficiency in ERP systems (NetSuite, Oracle, SAP) and MS Excel Finance. Strong understanding of E2E trade flow, including settlements and market-making processes. Excellent analytical and problem-solving skills, coupled with attention to detail and strong communication abilities (written and verbal). Enthusiastic self-starter with the ability to multi-task, prioritize, and deliver under pressure. Keen interest in FinTech, blockchain, and digital assets, with a passion for continuous learning and cross-functional collaboration. Opportunity to work at the cutting edge of finance and technology, shaping the future of institutional crypto markets. Collaborate with a high-performing, global team of experts from top-tier financial institutions and technology firms. Be part of a fast-paced, high-growth environment, where innovation and agility are celebrated. Qualification : Professional Degree: Chartered Accountant (CA) or CPA (mandatory)

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.

Job Title: Application Security Engineer About PhonePe Group PhonePe is India s leading digital payments company with 500 million registered users and 37 million merchants, covering over 99% of India s postal codes. Building on its leadership in digital payments, PhonePe has expanded into financial services, including insurance, mutual funds, stock broking, and lending. It has also ventured into adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store, India s first localized app store. The PhonePe Group is a portfolio of businesses aligned with the company s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we empower our people and trust them to do the right thing. We create an environment that enables you to give your best every day, from day one. If you are passionate about building technology that impacts millions, ideating with the brightest minds, and executing with purpose and speed, PhonePe is the place for you! Job Description We are looking for a skilled Application Security Engineer to join our team and strengthen our security posture. You will proactively identify and mitigate vulnerabilities across our web applications, APIs, and mobile apps. The ideal candidate will have a strong background in penetration testing, secure code review, and security automation. Roles & Responsibilities (What You Will Do) Penetration Testing: Perform penetration testing on web applications, APIs, and mobile apps, providing in-depth vulnerability analysis and remediation guidance. Secure Code Review: Conduct both manual and automated secure code reviews, primarily in Java, Python, and JavaScript. Security Automation: Develop security automation solutions using Python to streamline testing, improve coverage, and reduce manual effort. Collaborate with Development Teams: Work closely with development teams to ensure timely resolution of security issues within fast-paced release cycles. Threat Modeling: Create and maintain threat models, applying threat modeling techniques to proactively identify and mitigate design-level security risks. Security Education: Foster a security-first mindset by educating developers on secure coding practices, common vulnerabilities, and attack vectors. Effectively communicate security findings to stakeholders. What Makes You a Great Fit Experience: 1-5 years of experience in application security, penetration testing, or related fields. Penetration Testing Expertise: Strong penetration testing expertise with tools like Burp Suite, OWASP ZAP, semgrep, MobSF, Jadx-GUI, and other mobile security testing frameworks. DevSecOps Knowledge: Experience integrating security into the SDLC and familiarity with DevSecOps tools. Secure Coding Knowledge: Proficiency in secure coding principles, OWASP Top 10, CWE, and exploit techniques. Scripting Skills: Strong scripting skills (Python preferred) for security automation. Communication Skills: Excellent communication and stakeholder management abilities. Continuous Learning: Passion for continuous learning and staying updated on security trends. Certifications (Optional): Certifications like OSCP, OSWE, CRTP, or a proven Bug Bounty track record and/or CTF participation are a plus. PhonePe Full-Time Employee Benefits Insurance Benefits: Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance. Wellness Program: Employee Assistance Program, Onsite Medical Center, Emergency Support System. Parental Support: Maternity and Paternity Benefits, Adoption Assistance Program, Day-care Support. Mobility Benefits: Relocation Benefits, Transfer Support Policy, Travel Policy. Retirement Benefits: Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment. Other Benefits: Higher Education Assistance, Car Lease, Salary Advance Policy. Why Work at PhonePe Working at PhonePe is a rewarding experience. With great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond your defined job description, PhonePe offers a chance to grow your career in an innovative, dynamic company.

Job Title: Learning Operations Analyst Skill Required: Talent Development Learning Delivery Operations Designation: Analyst Qualifications: Any Graduation Experience: 3 5 Years About Accenture Accenture is a global leader in digital, cloud, and security services, bringing specialized expertise across 40+ industries. We provide Strategy & Consulting, Technology, Operations, and Accenture Song, supported by the world s largest Advanced Technology and Intelligent Operations network. With 699,000 professionals serving clients in 120+ countries, we drive transformation through technology and human ingenuity. Learn more at www.accenture.com. About the Role As a Learning Operations Analyst, you will play a key role in learning administration and delivery operations, ensuring the successful implementation of learning solutions while evaluating their effectiveness. You will be responsible for training team members, managing learning satisfaction surveys, and providing general support to client employees. Additionally, you will support process documentation, quality control, and operational excellence within the learning and development function. Key Responsibilities Process Support: Understand, analyze, and execute learning processes as per business rules. Serve as a subject matter expert (SME) to assist team members with process-related queries. Escalate issues and seek guidance when faced with complex challenges. Ensure high-quality written and verbal communication within the team. Develop and maintain process documentation, ensuring compliance with business requirements. Conduct Root Cause Analysis (RCA) on issues and recommend corrective actions. Propose process improvement initiatives to enhance efficiency and accuracy. Participate in knowledge transfer activities and gain in-depth expertise in the process. Collaborate on internal and client-driven initiatives related to learning delivery. Team Support: Manage and allocate workloads efficiently within the team. Support Team Leads/Managers by providing daily reports, metrics, and performance analysis. Maintain and update Management Information Systems (MIS) and process metrics. Provide real-time floor support to resolve operational issues. Conduct training needs analysis and ensure skill development within the team. Adhere to quality checks and audit mechanisms to ensure SLA compliance. Maintain security and confidentiality of client data at all times. Strong interpersonal skills with the ability to engage stakeholders at all levels. Customer-focused mindset with high responsiveness to urgent requests. Ability to work under pressure and meet tight deadlines. Strong organizational, multitasking, and prioritization skills. Analytical and problem-solving abilities. High level of confidentiality and attention to detail. Basic leadership and coaching skills to guide team members. Proficiency in MS Office and Excel, with a focus on business excellence. Strong verbal and written communication skills in English. Ability to handle customer complaints professionally and escalate when necessary. Flexibility to work in rotational shifts. Multicultural awareness and ability to collaborate in a global environment. Join us in delivering best-in-class learning solutions, fostering a culture of continuous improvement, and driving organizational excellence! Qualification : Any Graduation

Technical Requirements: 1. Experience in Verification: SoC (System on Chip), Sub-system, and Block Level verification. Strong understanding of verification methodologies and flow. 2. ARM Architecture & AMBA Protocol: Hands-on experience in ARM architecture. In-depth knowledge of AMBA protocol at the SoC and sub-system levels. 3. Verification Methodologies: Expertise in UVM (Universal Verification Methodology), OVM (Open Verification Methodology), SV (SystemVerilog), Verilog, and C-based verification methodology. Strong command over verification languages like SystemVerilog and Verilog. 4. Additional Verification Tools & Exposure: Exposure to GLS (Gate-Level Simulation) and power-aware verification is a plus. 5. Protocols Knowledge: Practical experience with verification of various protocols, such as: PCIe, DDRx, Ethernet, USB, AXI, AHB, APB, I2C, SPI. 6. RTL Debugging & Test Automation Scripting: Strong RTL (Register Transfer Level) debugging skills. Ability to write test automation scripts using TCL, Perl, or Python. 7. Testbench (TB) and Test Cases: Experience in building testbenches (TB) and test cases from scratch. In-depth knowledge of creating scalable and reusable testbenches. 8. Verification Tools: Familiarity with industry-standard verification tools for simulation, debugging, and automation. Expectations from the Role: 1. Communication & Inter-personal Skills: Strong communication and inter-personal skills. Ability to work independently or as part of a team, collaborating effectively with cross-functional teams. 2. Learning & Adaptability: Ability to quickly learn new technologies and verification tools. Ability to work in a distributed work environment and adapt to diverse work conditions. 3. Ownership & Punctuality: Demonstrated ownership of tasks and projects. High punctuality and accountability in delivering results within agreed timelines.