Search Relevance Engineer Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Position: Data Science Specialist Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 6 years (Mindset > Experience) About the Role: We re seeking a mission-driven, hands-on Data Analytics Specialist passionate about impact. This is not a typical analytics role you will drive key business metrics across clinical operations, stakeholder reporting, and automation. Collaborate closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision is data-driven, actionable, and scalable. If you thrive on building dashboards, automating processes, streamlining pipelines, and driving growth through insights, this is your playground. Key Responsibilities: Own Business KPIs: Take full ownership of company-wide metrics, ensuring their accuracy, relevance, and actionability through stakeholder alignment. Data Engineering: Build and optimize ETL/ELT pipelines integrating data from Postgres, ClickHouse, and other sources. Dashboards & Reporting: Design and maintain intuitive dashboards (Metabase, Power BI, Tableau, Google Data Studio) that stakeholders actively use. Backend Data Transformation: Write clean, reusable code to convert raw data into actionable insights. API Development: Build and maintain internal APIs to serve analytics data to frontend and production systems. Email Automation: Develop real-time and scheduled email reports delivering dynamic insights to stakeholders. Spreadsheet Expertise: Automate and manipulate complex data in Excel/Google Sheets for detailed analysis and reporting. AI & Automation: Collaborate with AI teams to integrate predictive algorithms and automate analytics workflows. Business Acumen: Develop deep understanding of the teleradiology ecosystem clinical workflows, operations, financials, and tech platforms. Proactive Collaboration: Identify data gaps, flag inconsistencies, recommend improvements, and work closely with leadership. Required Skills: Strong Python skills for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.) Proficient in SQL (ClickHouse, PostgreSQL) with experience optimizing queries End-to-end dashboard ownership from data modeling to UI presentation Experience building or integrating APIs for analytics Advanced spreadsheet skills and formula-driven reporting Experience working with AI/ML models in applied settings (preferred) Hands-on backend data transformations, version control, and automation Familiarity with full-stack development frameworks (bonus) Bonus / Nice to Have: Exposure to dbt, Airflow, ChromaDB, Streamlit, Plotly Knowledge of data privacy, compliance, and healthcare analytics Experience building analytics platforms for SaaS or health-tech companies Mindset We re Looking For: 10x Hustler: Ready to learn fast and go the extra mile to solve problems. Obsessed with Accuracy: Data must be flawless before release. Extreme Ownership: Proactive in driving results without waiting for instructions. Fast Learner: Able to pick up new tools and concepts quickly. Business First, Code Later: Focused on impact, not just coding. Be part of India s fastest-growing teleradiology platform Direct access to leadership and real-world business impact Build game-changing analytics systems and influence strategy Gain exposure to AI, automation, product, and operations in one role Clear ramp-up roadmap and growth plan Expectations in First 3 Months: Build an end-to-end dashboard from scratch Clean up at least one messy data pipeline Automate a stakeholder email update Validate accuracy across critical business metrics Understand full-stack platform structure and propose an improvement

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Senior Software Engineer Cloud Native Protection Location: Bangalore, India About the Team Rubrik s Cloud Native Protection team safeguards customer data on public cloud platforms. With cloud data growing rapidly and cyber threats increasing, the team builds scalable, secure solutions to protect, search, and analyze cloud data efficiently. Operating like a startup within a startup, the team tackles complex engineering challenges in a culture driven by strong engineering values and collaboration. About the Role As a Senior Software Engineer, you will be a key technical leader responsible for driving complex projects, designing scalable cloud-native software, and mentoring team members. You ll work closely with other engineers and cross-functional partners, bringing technical expertise, initiative, and leadership to deliver impactful solutions. What You ll Do Design, develop, test, deploy, maintain, and improve cloud native protection software. Tackle open-ended, complex problems, leading investigation and scoping efforts. Own project execution and ensure successful delivery of assigned work. Mentor and guide junior engineers, fostering their growth. Collaborate with product management, QA, UI/UX, documentation, and support teams. Experience & Qualifications Education & Experience: Bachelor s or Master s degree in Computer Science or related field. 4+ years of professional experience in software development. Technical Skills: Proficient in one or more programming languages: Go, Java, C/C++, Scala, Python. Experience with public cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with Docker, containers, Kubernetes, and microservices architectures is a bonus. Strong understanding of SDLC, design patterns, and software engineering best practices. Leadership & Collaboration: Proven problem-solving skills and attention to detail. Experience reviewing and designing software artifacts with high quality. Strong leadership and communication skills with a track record of mentoring others. Ability to work independently and deliver impactful results on complex projects. Rubrik is committed to securing the world s data through Zero Trust Data Security . Our platform combines machine learning and cloud-native technology to protect enterprises against cyberattacks, insider threats, and operational disruptions, ensuring data availability and integrity even under adverse conditions. Qualification : Bachelors or Masters degree in Computer Science or related field.

Staff Engineer DSPM Location: Bangalore, India About the Team Rubrik s Security Apps team focuses on securing customer data across cloud, SaaS, and on-premises environments. As data volumes grow exponentially, so do the associated cybersecurity risks. The team builds scalable and innovative solutions to protect, search, and analyze data seamlessly. Operating like a startup within a startup, they emphasize strong engineering principles, innovation, and teamwork to drive product excellence. About the Role As a Staff Engineer, you will play a critical role in Rubrik s R&D, collaborating closely with product teams to build and evolve scalable, fault-tolerant backend systems. You will lead the development of data ingestion pipelines and advanced analysis engines, shaping the technical direction of multiple projects. Additionally, you will mentor engineers, fostering leadership skills and promoting a culture of technical excellence. What You ll Do Design, develop, test, deploy, and maintain high-performance software systems. Build large-scale distributed systems and storage infrastructure. Develop backend services that ingest and process sensitive data from multiple cloud providers. Create data pipelines for classification, correlation, anomaly detection, automated issue resolution, and customer reporting. Own project priorities, deadlines, and deliverables with end-to-end accountability. Identify and resolve software bottlenecks, driving continual innovation. Provide technical leadership and mentorship to engineers, guiding their growth into leadership roles. Influence architecture and design decisions across teams and projects strategically. Propose and lead process improvements and technical initiatives to boost productivity. Collaborate rapidly with engineers, product designers, and stakeholders to solve real-world problems. Operate effectively in an agile, fast-paced environment, adapting quickly to evolving business needs. Experience & Qualifications Bachelor s or Master s degree in Computer Science or a related field. 13+ years of industry experience solving complex technical problems. Proficiency in one or more programming languages such as Go, Java, C/C++, Scala, or Python. Experience designing and architecting large-scale distributed systems. Proven ability to guide and mentor engineers in scalable software design and implementation. Strong communication and collaboration skills. Experience with public cloud platforms (GCP, AWS, Azure) is a plus. About Rubrik Rubrik is on a mission to secure the world s data with its Zero Trust Data Security platform. Using machine learning, Rubrik Security Cloud protects data across enterprises, cloud, and SaaS environments, enabling resilience against cyberattacks, insider threats, and operational disruptions while ensuring data integrity and availability. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Senior Software Engineer Google Ads Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree or equivalent practical experience. 5+ years of experience in software development using one or more programming languages. Strong understanding of data structures and algorithms. 3+ years of experience in testing, maintaining, or launching software products. 1+ year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1+ year of experience in a technical leadership role. Experience developing accessible technologies. About the Role Google s software engineers are at the core of building next-generation technologies that shape the way billions of users interact with information and each other. This role demands versatility, a strong grasp of core computer science concepts, and a readiness to solve challenges across the technology stack. As a Senior Software Engineer in the Google Ads team, you will work on products that power the open internet and connect advertisers with billions of users worldwide. You ll design and develop solutions across domains including search, display, shopping, travel, video advertising, and analytics. Your work will help businesses of all sizes from local startups to global enterprises achieve measurable results with trusted, impactful advertising tools. Key Responsibilities Design, develop, test, deploy, and maintain scalable software solutions. Write clean, efficient, and well-tested code for product or system development. Participate in and/or lead design and architecture reviews to assess and choose optimal technologies. Review code written by peers to ensure adherence to best practices regarding style, testability, and performance. Troubleshoot and resolve system or product issues through root cause analysis of hardware, network, or software components. Maintain and contribute to internal documentation and educational materials; adapt content based on user feedback and product changes. Qualification : Bachelors degree or equivalent practical experience.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Engineer - Core Infrastructure Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re transforming the future of work by leveraging artificial intelligence to connect individuals with career opportunities based on their skills and potential, not just their network. Our Talent Intelligence Platform powers a more diverse, inclusive workforce by helping organizations plan, hire, develop, and retain top talent. With $410M+ in funding and a $2B+ valuation, we are revolutionizing how the world thinks about skills, potential, and careers. If you re passionate about cutting-edge technology, infrastructure, and creating scalable solutions that impact the world, we want you to join us. The Opportunity We re looking for a Staff Engineer to join our Core Infrastructure Team and help scale the backbone of Eightfold s platform. This high-impact role will involve designing, building, and optimizing foundational systems that power everything from search and machine learning infrastructure to developer platforms and observability tools. You will drive system design across our stack and mentor engineering teams to build scalable, resilient systems that enable Eightfold to grow and deliver AI-powered solutions for our customers. What You ll Own & Drive Architect & Scale Core Systems: Design and build scalable infrastructure systems that support Eightfold s AI-driven products, including search, compute, storage, and machine learning infrastructure. Cross-Functional Leadership: Lead cross-team technical initiatives, collaborating with Product, Security, Data, and Platform teams to align with company-wide goals. Hands-On Development: Contribute directly to system design, code reviews, and incident response, ensuring best practices are followed. Mentorship & Leadership: Guide and mentor engineers to help them grow into future leaders, fostering a culture of technical excellence across teams. Advocate for Engineering Excellence: Champion best practices across areas such as cloud architecture, CI/CD, security, and observability. Solve Complex Infrastructure Challenges: Tackle problems around reliability, scalability, and infrastructure performance, ensuring the systems are robust and perform well at scale. Bring Emerging Tech to Life: Stay on top of the latest trends and technologies, incorporating new scalable design patterns into our architecture. What You Bring 10+ years of experience in backend or infrastructure engineering, with a strong background in building distributed, cloud-native systems. Proven track record in designing and delivering reliable, high-scale services (ideally in AWS, GCP, or Azure environments). Expertise in Infrastructure Technologies: Deep knowledge of containerization, orchestration (Kubernetes), and infrastructure-as-code. Experience with one or more of the following: search infrastructure, ML/AI infrastructure, databases/data warehouses, developer tooling, or platform security. Leadership Experience: A passion for mentoring and guiding engineers, influencing teams and peers, and driving excellence across projects. Strong communication skills, able to translate complex technical challenges into strategic business impact. (Bonus) Experience with SRE principles, cloud security, and compliance for enterprise/government environments. Our Engineering Culture At Eightfold, we believe in ownership over tasks. You won t just be given directions; you ll be trusted to take responsibility and make a measurable impact. We have a growth mindset and continuously improve in all aspects of our work. Collaboration, transparency, and speed are core to everything we do. You ll work in a dynamic, supportive environment where your work directly influences the success of the company and its mission. Meaningful Work: Help shape the future of work by building products that impact careers and businesses globally. Growth Opportunities: Be part of a rapidly scaling company where your contributions are highly valued. Competitive Compensation: Attractive salary, equity, and comprehensive benefits package (including medical, vision, and dental coverage). Hybrid Work Model: Work from our Bangalore office twice a week, with flexibility for remote work. Inclusive Culture: We are committed to fostering a diverse and inclusive work environment where everyone feels valued. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you re a hands-on, innovative engineer with a passion for building scalable systems and tackling infrastructure challenges, we want to hear from you.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with one or more general-purpose programming languages, including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go. 4 years of experience with Distributed Processing, System Design, and High-Performance Computing. Preferred Qualifications: Experience in solving ambiguous problems in complex environments. Experience in building distributed systems that are scalable and efficient. Ability to design and complete projects independently, taking ownership of the end-to-end process. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. The list of technologies we engage with is always growing. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Core Team Overview: The Core team builds the technical foundation behind Google s flagship products. We are the owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure that make up the backbone of Google s services. These are essential building blocks for creating excellent, safe, and coherent user experiences that also drive the pace of innovation for every developer at Google. We look across Google s products to build central solutions, break down technical barriers, and strengthen existing systems. As the Core team, we have the unique opportunity to impact critical technical decisions across the company, influencing the direction of the most foundational and influential aspects of Google s technology. Responsibilities: Work on a core indexing platform that is pivotal to the functionality and performance of Google s services. Design, develop, and maintain highly efficient, scalable, and robust systems to manage large-scale indexing challenges. Work with cross-functional teams to create innovative solutions for distributed computing problems, ensuring that Google s products remain performant and reliable at scale. Contribute to building distributed systems capable of handling immense data volumes in real-time, ensuring that Google's systems can scale with global usage. Participate in code reviews, design discussions, and the creation of detailed documentation to ensure high-quality outcomes. Qualification : Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Role: Senior SEO Executive Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Immediate joiners preferred Employment Type: Full-Time About Aezion: Aezion is a leading technology solutions provider, specializing in custom software development, AI-driven solutions, and digital transformation for enterprises. As one of the trusted digital engineering partners in the USA, we are committed to delivering excellence by exceeding client expectations across all stages of the project lifecycle architecting, designing, developing, hosting, maintaining, and supporting. We live by our core promise: "Get it right, or make it right." At Aezion, we view work as a ministry, an expression of our values, where results not only transform our clients but also forge lasting partnerships. Our Culture: At Aezion, we are a mission-driven organization guided by our Purpose Love others like Christ and our values: Love, Dependability, Humility, Diversity, Speed, and Innovation. We believe service defines us, and our dedicated team of 200+ employees work tirelessly to transform our customers into lifelong partners. Through service excellence, we aim to impact lives and drive success. Role Overview: We are seeking a skilled and motivated Senior SEO Executive to join our dynamic team. You will be responsible for driving organic search growth and improving visibility across search engines. This role will involve developing SEO strategies, conducting keyword research, optimizing on-page elements, building backlinks, and monitoring performance using SEO tools. Additionally, you will collaborate with cross-functional teams to align SEO efforts with broader marketing and content goals. Key Responsibilities: SEO Strategy Development: Formulate and implement effective SEO strategies to improve organic search visibility and drive traffic to the website. Keyword Research: Conduct comprehensive keyword research to identify high-value search terms relevant to Aezion s target audience and industry. On-Page Optimization: Optimize on-page content, including metadata, headers, image alt tags, and internal links, to enhance search rankings and relevance. Content Collaboration: Work closely with the content team to ensure all published content adheres to SEO best practices and targets strategic keywords. Technical SEO: Identify and resolve technical SEO issues, such as crawl errors, page speed optimization, mobile-friendliness, and XML sitemaps. Collaborate with web developers to implement technical SEO best practices across the site. Link Building: Build high-quality backlinks through outreach, guest blogging, and content promotion. Performance Monitoring & Reporting: Track, analyze, and report on organic performance metrics (traffic, rankings, bounce rate, etc.) using tools like Google Analytics, Google Search Console, and other SEO platforms. Provide actionable insights for continuous improvement. Social Media Integration: Develop and implement a social media content strategy that aligns with the overall marketing goals. Manage Aezion s social media presence across platforms like Facebook, Twitter, LinkedIn, and Instagram. Engagement Monitoring: Monitor social media channels for mentions, comments, and messages, responding promptly to inquiries and feedback to maintain brand reputation. Required Skills and Experience: SEO Expertise: At least 4+ years of hands-on experience in SEO, including keyword research, on-page optimization, and link building. Content & Technical SEO: Proven experience in optimizing both content and technical SEO elements to improve rankings and user experience. Analytics & Reporting: Proficiency with SEO tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, or similar platforms. On-Page & Off-Page SEO: Strong understanding of on-page optimization techniques (metadata, content, internal linking) and off-page strategies (backlink building). Social Media Savvy: Experience in managing and optimizing social media content to support SEO and marketing initiatives. Communication Skills: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Problem-Solving: Ability to identify and resolve SEO challenges, from technical issues to content optimization. Preferred Qualifications: Experience with SEO in a competitive digital environment, preferably in technology or software services. Familiarity with CMS platforms (WordPress, Joomla, etc.) and basic HTML/CSS. Certifications in SEO or related fields (e.g., Google Analytics, SEMrush, or HubSpot) are a plus.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience building and developing infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture. Experience developing accessible technologies. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions that impact billions of users worldwide. Responsibilities: Write product or system development code to build solutions at scale. Participate in, or lead, design reviews with peers and stakeholders to make technology decisions and choose the best available solutions. Review code developed by other engineers, providing feedback to ensure best practices are followed (e.g., style guidelines, checking code in, accuracy, testability, efficiency). Contribute to existing documentation or educational content, updating it based on product or program changes and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and assessing their impact on hardware, networks, or services. About the Core Team: The Core team at Google builds the technical foundation behind Google s flagship products. As the foundation of Google s platform, we are responsible for the underlying design elements, developer platforms, product components, and infrastructure that are essential for building excellent, safe, and coherent experiences for users. We influence the pace of innovation across every developer team at Google. We provide central solutions, break down technical barriers, and strengthen existing systems, creating innovative and scalable solutions that power the products used by billions of people. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Software Engineer at Google (Android Focus) Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience in Android, Kotlin, Java, Mobile App Development, API Design. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience in backend e-commerce, internationalization, and localization. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Job Title: Software Engineer About the Role: At Google, our Software Engineers are at the forefront of innovation, designing and developing cutting-edge technologies that shape how billions of users connect, explore, and interact with information. Our products operate at an immense scale, extending far beyond web search, and require engineers who bring fresh perspectives from diverse technical domains, including information retrieval, distributed computing, large-scale system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile development. As a Software Engineer, you will contribute to mission-critical projects, collaborating with teams across Google to develop, test, deploy, maintain, and enhance software solutions. Your versatility, leadership abilities, and enthusiasm for solving complex challenges will be crucial as you navigate projects across the full technology stack. The Core Team serves as the backbone of Google s technical infrastructure, building the foundational elements behind our flagship products. This team is responsible for developing essential developer platforms, product components, and infrastructure that drive innovation across Google s ecosystem. As a member of this team, you will play a pivotal role in breaking down technical barriers, optimizing existing systems, and making key architectural decisions that influence the entire organization. Key Responsibilities: Design, develop, and maintain high-quality software solutions that support Google's technical infrastructure and products. Participate in and lead design reviews with peers and stakeholders, evaluating available technologies to determine optimal solutions. Conduct thorough code reviews to ensure adherence to best practices, including code quality, efficiency, accuracy, testability, and compliance with style guidelines. Contribute to documentation and educational resources, updating content based on product enhancements and user feedback. Troubleshoot and debug complex system issues, analyzing their impact on hardware, networks, and service operations to maintain optimal performance and reliability. At Google, we foster a culture of continuous learning, innovation, and technical excellence. If you're passionate about solving challenging problems and building world-class technology, we invite you to be part of our journey. Qualification : Bachelors degree or equivalent practical experience.