Senior Intelligence Analyst - Deep and Darkweb Desk

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.

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.

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.

Join ZeroFox's dynamic Intelligence Team as the Lead Intelligence Analyst for our Deep and Darkweb Desk. This role is pivotal in safeguarding our customers and their assets against both digital and physical security threats. Utilizing our cutting-edge hybrid intelligence platforms and methodologies, you will leverage your expertise in collection, analysis, and scripting to uncover threats and develop actionable intelligence that assesses risks to our clientele. Your role will encompass tracking both current and emerging threats, including cybercrime and various forms of malicious exploitation. If you have a passion for the dark web, intelligence analysis, and cyber sleuthing, we want to hear from you! Exceptional discretion, collaborative teamwork, and innovative thinking are essential.

Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.

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 dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

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!

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

Teamwork makes the stream work. Roku is revolutionizing the way the world engages with television.As the leading TV streaming platform in the U.S., Canada, and Mexico, we aim to empower every television globally. Roku has been at the forefront of streaming technology, and our mission is to be the ultimate TV streaming ecosystem. We connect viewers with their favorite content, offer content creators a platform to build and monetize their audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be recognized and valued. We are a rapidly expanding public company where every individual plays a pivotal role. Join us in bringing joy to millions of TV streamers while gaining invaluable experience across various disciplines. About the RoleWe are on the lookout for an exceptional and innovative Machine Learning Platform Engineer to join Roku's Recommendation team. In this position, you will design, construct, and scale robust distributed systems that deliver personalized content recommendations to millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure that ensure seamless deployment, monitoring, and optimization of algorithms and operational workflows, providing unique experiences at scale.What You'll Be DoingDesign, develop, and maintain scalable platform services, such as feature stores, real-time inference services, and vector databases, capable of handling millions of transactions per second.Execute and monitor online A/B tests using robust platform services while analyzing platform metrics and business KPIs to enhance recommendation system performance.Collaborate closely with U.S.-based engineering and cross-functional teams to convert business requirements into modular platform components and APIs.Advance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.We’re excited if you have5+ years of experience building...

InMobi Advertising is a pioneering global technology company that empowers marketers to seize pivotal moments. Our advanced advertising platform serves over 2 billion users across more than 150 countries, transforming real-time context into actionable business results through a commitment to privacy-first principles. We are the trusted partner for over 30,000 brands and leading publishers, where intelligence, creativity, and accountability come together. By leveraging lock screens, apps, TVs, and the open web with AI and machine learning, we provide attentive engagement, precise personalization, and measurable impact.With Glance AI, we are revolutionizing AI Commerce, envisioning the future of e-commerce through inspiration-driven discovery and shopping experiences. Seamlessly integrated into everyday technology, Glance AI turns every screen into a portal for immediate, personalized, and delightful discovery across a multitude of categories including fashion, beauty, travel, home décor, and more. Utilizing rich first-party data and unparalleled consumer insights, Glance AI harnesses InMobi's global reach and targeting capabilities to craft impactful, performance-driven shopping journeys for brands worldwide.Recognized as a Great Place to Work, and honored by MIT Technology Review and Fast Company’s Top 10 Innovators, InMobi is a workplace where innovative ideas create global significance. Supported by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has a presence in San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond.Join us at InMobi Advertising and help shape the way billions of users engage with content, commerce, and brands globally. For more information, visit www.inmobi.com.

We are on the lookout for a talented and experienced Senior Machine Learning Engineer with a strong focus on multimodal generative AI models, cross-modal architectures, and advanced multimodal fusion techniques. The ideal candidate will possess a robust technical foundation spanning text, vision, audio, and video modalities, alongside a passion for mentoring and promoting the integration of innovative technologies.

Join Aarki Inc. as a Senior Machine Learning Engineer and be part of a dynamic team that is shaping the future of machine learning solutions. In this role, you will leverage your expertise in machine learning algorithms and data science to develop innovative models and applications that drive business success.

About Cognite Cognite specializes in industrial digitalization and AI, developing data solutions that address complex industry challenges. The team combines deep industrial experience with a suite of AI tools, including accessible low-code AI agents, to speed up digital transformation and drive operational improvements. The company values curiosity and welcomes those who see obstacles as chances to move forward. Cognite’s goal is to create significant impact across industries, aiming to unlock $100 billion in customer value by 2035. Learn more about their vision in the Moonshot initiative. The Bengaluru, India office is part of this global effort, where AI, data, and creativity come together to shape a smarter, more connected industrial future.

Join Us at WisdomAIAt WisdomAI, we are dedicated to democratizing access to data and insights for everyone. We believe that data has the potential to transform decision-making, and with the advent of Generative AI, we aim to revolutionize how employees uncover insights within their organizations. As we grow, now is an exciting time to join our team. We proudly serve multiple Fortune 100 companies and as one of the early members, you will have the opportunity to significantly influence our product and engineering roadmap.Your RoleWe are in search of talented ML/NLP engineers to become part of our dynamic team. Our focus lies in tackling fundamental challenges in areas such as LLM-based code generation, document understanding, context synthesis, and LLM-based agents. Our team comprises professionals with backgrounds from industry leaders like Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines for complex analytical tasks.Create and implement evaluation frameworks for our query processing engine.Collaborate closely with customers and founders to shape the product and engineering roadmap.Contribute to cultivating a robust engineering culture and enhancing our tech stack.