Senior Software Engineer - Search Relevance (Applied AI)

Bosch Group is looking for an Applied Computer Vision Engineer focused on data-driven development in Bengaluru. This position centers on designing and implementing computer vision solutions that support intelligent systems and machine learning projects. Role overview The engineer will analyze complex datasets and develop algorithms that support advanced computer vision tasks. Collaboration with cross-functional teams is part of the daily work, aiming to deliver solutions that make a measurable difference across multiple sectors. What you will do Design and implement computer vision solutions using modern technologies Analyze large and complex datasets to extract meaningful insights Develop algorithms that enhance machine learning capabilities Work closely with colleagues from different disciplines to deliver practical results Impact This role offers the chance to contribute to projects that advance technology and improve processes in a range of industries.

Become a vital part of our esteemed computer vision team at EHT Eternal Horticulture Technologies, where we are set to redefine the automation of horticulture. This role is perfect for fresh graduates eager to make an impact or seasoned engineers seeking new challenges. You will be at the forefront of developing innovative perception systems that empower robots to interpret and engage with intricate greenhouse settings—ranging from recognizing ripe fruits to diagnosing plant ailments and enhancing crop vitality.As a Computer Vision Engineer with us, you will thrive in a performance-driven environment that appreciates foundational thinking and swift iteration. Your work will bridge the gap between traditional computer vision techniques and contemporary deep learning approaches, crafting reliable perception systems tailored for the dynamic challenges of agricultural environments characterized by fluctuating illumination, obstructions, and biological diversity.You will collaborate with a remote team spanning our headquarters in Cologne and our Bengaluru office, pushing the limits of agricultural computer vision while delivering effective solutions that function round the clock in real-world settings.

Stripe supports millions of businesses by providing financial infrastructure for payments, revenue growth, and new opportunities. The company’s platform serves organizations of all sizes, aiming to expand the GDP of the internet by enabling global commerce. Batch Compute Infrastructure Team This team operates Stripe’s large-scale batch processing systems, which run on more than 5,000 distributed nodes. Core technologies include Hadoop, Spark, and Celeborn. These systems support asynchronous workflows for financial, analytical, and regulatory processes, handling data at petabyte scale. Role overview The Engineering Manager for Batch Compute Infrastructure leads a group responsible for building and maintaining the tools, infrastructure, and systems that power Spark, Hadoop, and Celeborn at Stripe. This role sets the roadmap for these platforms, focusing on their reliability and scalability. Collaboration is central: the manager works closely with other engineering and finance teams whose projects depend on dependable data processing infrastructure. The position also involves partnering with stakeholders to define, measure, and track the cost-efficiency of Stripe’s batch compute systems. Requirements Experience managing engineering teams responsible for distributed infrastructure or large-scale data processing Familiarity with technologies such as Hadoop, Spark, or Celeborn Ability to set technical direction and roadmap for critical platforms Strong collaboration skills with cross-functional partners Focus on reliability, scalability, and cost-efficiency in infrastructure

Join our innovative team as a Backend Automation Engineer, specializing in event-driven systems and API integration. You will leverage your expertise in Node.js and TypeScript to design and implement high-performing REST and GraphQL endpoints, facilitating seamless access to our core services. Your role will involve owning the PostgreSQL-backed state machine, managing event snapshots, and building robust adapters for external services including payment and shipping systems. We expect you to write comprehensive unit, integration, and end-to-end tests using Jest and Supertest, while contributing to our CI/CD pipelines with GitHub Actions and GitLab CI.

Join our dynamic team at Egis Group as a Computational Structural Engineer. In this role, you will leverage advanced computational techniques to design and analyze complex structures, ensuring safety and efficiency. You will collaborate with multidisciplinary teams to deliver innovative engineering solutions that meet client needs and adhere to industry standards.

Konovo is a leading global healthcare intelligence firm dedicated to revolutionizing research through innovative technology, providing quicker, enhanced, and interconnected insights. With access to an extensive network of over 2 million healthcare professionals, Konovo stands as the largest of its kind on a global scale. Our diverse team of over 200 employees, spread across five countries—India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States—collaborates to assist some of the most renowned names in the healthcare sector. Our clientele includes more than 300 prominent pharmaceutical companies, medical device firms, research organizations, and consulting agencies. As we shift from a service-oriented approach to a product-centric platform, we are expanding our hybrid team based in Bengaluru. We are in search of a Senior Applied AI Engineer to drive the next phase of our AI-native platform. AI is already integrated into our products and internal tools. In this role, you will enhance, scale, and operationalize these capabilities across our platform, data systems, and engineering workflows, ensuring production reliability and enterprise-level discipline. Collaborating with global engineering, data, and product teams, you will translate real business challenges into production-ready AI solutions. This is a hands-on position for an individual who comprehends both the potential and limitations of contemporary AI. You will design strategically, build pragmatically, and deploy responsibly. Your contributions will directly influence how our customers and employees engage with AI at Konovo. You'll work in an environment where AI decisions affect enterprise customers worldwide, adhering to high standards of reliability, compliance, and performance. AI serves as a strategic differentiator for Konovo, and as a globally scaled healthcare intelligence company, we strive to accelerate innovation while maintaining reliability, data integrity, and customer trust.

About UsAt Rox Data Corp, we are dedicated to empowering individuals to excel in their work.Our innovative platform equips sales professionals with autonomous revenue agents that handle manual tasks, allowing them to concentrate on what they do best: selling. Just as coding agents revolutionized engineering, our revenue agents enhance customer engagement.We are redefining the revenue stack by creating the world’s first revenue operating system, encompassing everything from the application layer to the system of context. At Rox, we envision a future where humans act as orchestrators while agents efficiently manage the entire customer lifecycle.Rox serves Global 2000 leaders across various sectors including banking, hardware, construction, and sovereign AI, along with prominent AI enterprises like Ramp and Cognition.Our success is grounded in a shared mission and an unwavering commitment to transforming this vision into reality.The TeamOur world-class team is the backbone of our innovations and progress.Team members have:Founded and successfully exited multiple companiesHeld top-tier positions at esteemed organizations such as Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are supported by top-tier investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We ensure that every detail is meticulously crafted, creating not just functional but enjoyable interactions for our users. We are driven to refine and enhance every aspect of our product continuously.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs swiftly and proactively delivering value. Our commitment to learning and improving is relentless.Action: Get it done.Execution sets us apart. We prioritize thoughtful decision-making and immediate delivery, fostering trust through our actions.

Join Tekion as a Staff Applied Scientist, where you will play a critical role in shaping innovative solutions that enhance business performance. You will collaborate with a team of talented professionals to develop advanced analytics and machine learning models that drive data-driven decision-making.

Join our dynamic team as a Senior Talend Developer / Lead Data Engineer at Bosch Group in Bengaluru. In this pivotal role, you will leverage your expertise in Talend to drive data integration processes and lead engineering initiatives that enhance our data infrastructure.

Join an innovative team as a Founding Applied Scientist with one of Weekday's esteemed clients!Salary range: Rs 5000000 - Rs 10000000 (INR 50 - 100 LPA)Minimum Experience Required: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will bridge advanced research and production engineering, creating foundational systems that empower AI systems to learn from enterprise settings, analyze tribal knowledge, and drive significant business outcomes.This autonomy-driven, builder-centric position is crafted for individuals eager to surpass conventional benchmarks and address critical challenges regarding AI trustworthiness, memory, and autonomy within real-world enterprise systems. You will play a key role in shaping the future of applied science in the realm of intelligent agents.Your Contributions:What You'll BuildYou will conduct research, design, and deploy next-generation system architectures concentrating on:Agentic & Tribal Knowledge SystemsDesign and implement multi-agent systems capable of tackling complex, long-term tasks.Develop frameworks that incorporate organizational memory and domain expertise into intelligent workflows.High-Impact Applied Science SolutionsIdentify and resolve intricate business challenges utilizing machine learning.Enhance engagement, retention, pricing, optimization, and other critical metrics.Create measurable top-line growth at scale.Customer-Facing Applied AICollaborate directly with engineering and product teams at key client sites.Act as a trusted advisor on ML architecture and agent-based systems.Facilitate the adoption of production-ready agentic AI solutions.End-to-End Model DevelopmentDesign, construct, and implement production-grade ML systems.Extend platform capabilities to accommodate large-scale, user-focused environments.Oversee the entire lifecycle from experimentation to scalable deployment.

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

Company OverviewCommerceIQ is at the forefront of transforming digital commerce with its AI-driven platform. Our comprehensive ecommerce management solutions enable brands to make informed decisions that enhance their digital presence, boost retail media ROI, and drive incremental sales across major global marketplaces. Serving a network of over 900 retailers, our platform assists more than 2,200 leading brands in optimizing their marketing, supply chain, and sales processes to expand their market share across 50+ countries. Ten of the twelve top CPG brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, rely on our services. Backed by over $200M in funding from prestigious investors like SoftBank and Insight Partners, we are poised for significant growth. Discover more at commerceiq.ai. The Role:The e.fundamentals Digital Shelf Analytics platform aggregates nearly 4 million webpages daily from around 500 retailers globally. This monumental data collection requires specialized tools for scheduling and managing numerous tasks efficiently.Our Scheduling team is dedicated to developing and maintaining these essential tools. We seek a seasoned Software Engineer to lead the team as we create a new iteration of our scheduling system, catering to the needs of our rapidly expanding clientele.What You’ll Do:Lead and mentor a team of skilled engineers, guiding them in delivering a flexible and scalable scheduling system.Ensure the team’s health and success by fostering a positive and collaborative culture.Balance hands-on development tasks with team leadership responsibilities.

About Anyscale:At Anyscale, we are dedicated to revolutionizing distributed computing, making it accessible to developers of all backgrounds. Our flagship product, Ray, is an influential open-source framework that fosters a thriving ecosystem of libraries for scalable machine learning. Industry giants like OpenAI, Uber, Spotify, Instacart, and Cruise leverage Ray to enhance their AI initiatives, propelling them into practical applications.With Anyscale, we aim to establish the ultimate environment for Ray, empowering developers and data scientists to effortlessly scale machine learning applications from their local machines to large clusters, without requiring deep expertise in distributed systems.We are proud to be supported by Andreessen Horowitz, NEA, and Addition, having successfully raised over $250 million to date.About the Role:Ray aspires to deliver a universal API for crafting distributed applications, such as machine learning pipelines that encompass feature engineering, model training, and evaluation. Data is a fundamental component that interconnects these various stages, significantly influencing Ray's usability, performance, and stability. We are seeking talented engineers to enhance, optimize, and scale Ray’s Datasets library and its overall data processing capabilities.

Join AION as a Senior Software EngineerAION is at the forefront of revolutionizing high-performance computing (HPC) through our innovative AI cloud platform. Our mission is to democratize access to compute resources, enabling organizations to seamlessly navigate the entire AI lifecycle—from data management to model deployment. With a focus on bare-metal performance and a forward-deployed engineering approach, we are committed to transforming the way businesses harness the power of AI.The demand for robust compute solutions is surging globally, and AION is poised to be the gateway for dynamic compute workloads. We are building integration bridges with diverse data centers worldwide and re-engineering the compute stack using cutting-edge serverless technology. At AION, we prioritize enterprise security and compliance, meticulously rethinking infrastructure from hardware to API interfaces.Founded by seasoned entrepreneurs with successful track records, AION is well-funded by prominent venture capitalists and has established strategic global partnerships. With our headquarters in the US and a growing presence in India and London, we are assembling our core team to drive our mission forward.

Join our dynamic team as a Desktop Support Engineer specializing in End User Computing. You will play a crucial role in supporting and optimizing our end-user computing environment, ensuring seamless technology experiences for our clients. If you are passionate about technology, customer service, and problem-solving, we want to hear from you!

Role overview Weekday's Client seeks a Big Data Developer in Bengaluru to improve and maintain data pipelines and processing systems that drive business intelligence and analytics. The position works with large volumes of both structured and unstructured data, spanning cloud and on-premise environments. Collaboration with data engineers, analysts, and product teams is central to delivering reliable, high-performance solutions that support business decisions. What you will do Design, develop, and maintain scalable data pipelines and big data processing systems. Build and optimize data architectures using AWS services to increase availability and performance. Use PostgreSQL for data storage, querying, and performance tuning. Process and analyze large datasets to enable analytics and reporting. Work with cross-functional teams to gather requirements and deliver data solutions. Maintain data quality, integrity, and security across all systems. Optimize data workflows for better performance, scalability, and cost efficiency. Implement ETL and ELT processes for smooth data ingestion and transformation. Monitor and troubleshoot data pipelines to ensure reliability and uptime. Integrate cloud and on-premise data systems to support hybrid environments. Document data architecture, workflows, and best practices for future growth. Location This role is based in Bengaluru, Karnataka, India.

* Design, implement, and maintain robust data ingestion pipelines that are secure and scalable, sourcing data from diverse systems such as SAP, Salesforce, SharePoint, APIs, and legacy manufacturing platforms.* Develop and enhance metadata-driven services to facilitate discoverability, access governance, and operational transparency of enterprise data.* Act as a technical authority and cross-functional facilitator for the acquisition, quality, and compliance of both structured and unstructured data.* Establish and oversee comprehensive data quality management, including monitoring and reporting.* Contribute to a global data engineering team that supports all major business domains.* Spearhead the ingestion and metadata service implementation for over 100 enterprise data sources.* Collaborate with IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable data delivery.Main Responsibilities:▪ Construct and maintain extraction services using Python or Scala (e.g., Debezium Server, custom APIs, rclone).• Implement Change Data Capture (CDC), delta, and event-based patterns.• Facilitate push-based HTTP and Kerberos-authenticated DLT delivery.• Establish, operate, and troubleshoot SAP extraction using tools like Theobald Extract Universal.• Integrate with systems such as Salesforce, SharePoint, and other API or file-based endpoints.▪ Develop a user-friendly, web-accessible data catalog application, featuring dataset profiles, metadata, and usability enhancements.▪ Integrate dataset discoverability, preview/exploration features, and lineage information using Unity Catalog as a backend metadata system.▪ Design and implement structured access request workflows encompassing submission, approval chains, audit trails, and enablement triggers.• Conduct design reviews with the Cybersecurity team.• Ensure proper documentation and compliance for all interfaces and data ingress points.• Manage audit and traceability requirements.• Collaborate with IT and business users to translate requirements into scalable technical solutions.• Serve as a technical escalation point for complex source integration challenges.▪ Define and execute a multi-layered data quality framework, incorporating unit-level, integration-level, and cross-pipeline validation rules.▪ Establish centralized, version-controlled storage of Data Quality (DQ) rules, integrating them into orchestration and CI/CD pipelines.▪ Implement automated DQ monitoring with varying severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining mechanisms at relevant pipeline stages.▪ Work closely with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.

Join our innovative team at Continental as a Data Engineering IT Engineer, where you'll play a crucial role in driving our data initiatives. In this position, you will design, develop, and maintain robust data pipelines and architectures that support our advanced analytics and business intelligence goals. Collaborate with cross-functional teams to ensure data quality and integrity while leveraging cutting-edge technologies to enhance our data-driven decision-making.

About AQR Capital Management AQR Capital Management is a globally recognized investment management firm that operates at the confluence of financial theory and practical application. Our mission is to achieve superior, sustainable outcomes for our clients by effectively filtering market noise to discern what is truly important, coupled with developing ideas that withstand stringent testing. Our commitment to technological excellence fuels our insights and analysis, establishing us as leaders in both alternative and traditional investment strategies since 1998. We adopt a systematic, research-oriented methodology, leveraging quantitative tools to process fundamental information and manage risk. Our clientele comprises institutional investors, including pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, in addition to financial advisors. The Team: AQR is assembling a new Data Engineering team within the Enterprise Engineering organization to tackle challenges associated with big data. This team will collaborate closely with researchers and other departments throughout the firm to develop and oversee the infrastructure that loads, validates, and provisions extensive datasets utilized in research and investment processes. Your Role: As a Data Engineer, you will engage in the design and construction of a new enterprise data platform employed by quantitative researchers to manage substantial volumes of market, reference, and alternative data, both structured and unstructured. You will also be responsible for developing essential tools that will be utilized firm-wide for data validation, back-testing, and uncovering valuable investment insights. Close collaboration with Researchers and Portfolio Managers will be essential to define and implement detailed business requirements for both new and existing projects. This vital team will leverage big data technologies and cloud-based platforms to create a scalable and extensible solution to meet the data needs of one of the world's largest quantitative investment firms. What You’ll Bring: 6+ years of relevant experience Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field Exceptional coding, debugging, and analytical skills Adept at collaborating with business stakeholders to define and implement solutions Experience working within a distributed data environment and managing large datasets Proficiency in big data frameworks such as Spark and Hadoop