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P-1408
Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets, such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models, on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets is a critical journey for our users, enabling them to complete their tasks effectively.
As our Search product evolves, we are on the lookout for a Staff Engineer to spearhead improvements in our Search Quality. In 2025, our primary goals include enhancing search ranking, refining query understanding, developing robust evaluations, and broadening asset coverage to facilitate seamless search capabilities at scale.
P-1408 Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets—such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models—on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets i…
About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.
Contract|$68K/yr - $100K/yr|Hybrid|Hybrid (Bengaluru, KA, IN)
About the RoleJoin GALILEO TECHNOLOGIES as a Senior Software Engineer where you will be integral in designing, developing, and enhancing our innovative products. We seek a talented engineer who thrives on tackling intricate challenges at the crossroads of Data and Machine Learning, with a keen interest in Observability and Reliability within the realm of Generative AI.
Join Western Digital as a Senior Scientist in Data Science, where you will lead pioneering research and development projects in the realms of Generative AI, interpretable machine learning, and statistical analysis. You will work alongside a talented team of data scientists and engineers to innovate and apply advanced algorithms to solve complex problems.
Join Anyscale as a Software Engineer specializing in Ray Serve. You will be at the forefront of developing scalable machine learning applications, contributing to a cutting-edge platform that enables users to run their machine learning workloads effortlessly. You will collaborate with a talented team to design, implement, and optimize features that enhance the performance and usability of our services.
Join Eurofins as an AI Software Engineer and contribute to cutting-edge projects at the forefront of technology. You will be responsible for designing, developing, and implementing AI solutions that drive innovation and efficiency. Collaborate with a talented team of engineers and data scientists to transform complex data into actionable insights.This role offers the opportunity to work in a dynamic environment where creativity and technical expertise are valued.
About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.POSITION SUMMARYAs a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.
Full-time|₹2.5M/yr - ₹4M/yr|On-site|Bengaluru, Karnataka, India
Join a dynamic team as a Member of Technical Staff specializing in Machine LearningSalary range: Rs 2500000 - Rs 4000000 (i.e., INR 25-40 LPA)Minimum Experience: 2 yearsLocation: BengaluruJob Type: Full-timeWe are seeking a passionate Member of Technical Staff – Machine Learning with 2–3 years of practical experience in Python development, API engineering, and expertise in Large Language Models (LLMs). In this role, you will be instrumental in creating and scaling ML-driven features, embedding AI capabilities into production systems, and aiding in the development of AI-first products.
Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.
Full-time|On-site|Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada
Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip—56 times the size of traditional GPUs. Our revolutionary wafer-scale architecture enables the processing power of multiple GPUs on a single chip, simplifying programming and enhancing efficiency. This innovation allows our clients to experience unparalleled training and inference speeds, facilitating the seamless execution of large-scale machine learning applications without the complexity of managing numerous GPUs or TPUs.Cerebras serves a diverse clientele, including leading model labs, global corporations, and pioneering AI startups. Notably, OpenAI has formed a multi-year partnership with Cerebras to harness 750 megawatts of power, revolutionizing key workloads through ultra-high-speed inference.Our cutting-edge wafer-scale architecture enables Cerebras Inference to provide the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based cloud inference services. This significant acceleration is transforming how users interact with AI applications, promoting real-time iterations and enhancing intelligence through advanced computational capabilities.About The RoleAs a leader in large-scale AI supercomputers, Cerebras Systems deploys multi-exaflop supercomputers in some of the largest data centers worldwide. Our supercomputers leverage Wafer-Scale Cluster technology, consisting of multiple Wafer Scale Engine (WSE) chips. The Cluster engineering team is tasked with delivering comprehensive software solutions for our clusters.ResponsibilitiesAutomate the bare-metal configuration of networking, operating systems, and application software across extensive clusters of Cerebras WSE, servers, and switches.Implement additional streamlined workflows for cluster upgrades, downgrades, and security patching, with key performance metrics designed to minimize cluster downtime.Develop an orchestration and scheduling system for resource allocation and job submissions in a multi-user cluster environment.Provide seamless support for both on-premise and cloud-based deployment and operations.Create a robust monitoring system capable of detecting and addressing failures across various cluster resources, ensuring high availability.
Role overview Eurofins Scientific seeks a Software Engineer specializing in Artificial Intelligence and Machine Learning for its Bengaluru office. The position focuses on creating and refining AI/ML solutions that drive important company projects. What you will do Collaborate with cross-functional teams to design and build software that uses AI and machine learning techniques. Emphasis is on scalable and efficient solutions. Apply technical knowledge to improve product features and make operations more efficient. Location This position is located in Bengaluru.
Join InMobi Advertising, a pioneering global technology firm that empowers marketers to seize pivotal moments. Our advertising platform connects with over 2 billion users across 150+ countries, transforming real-time context into impactful business outcomes underpinned by privacy-first principles. Trusted by over 30,000 brands and top publishers, InMobi is where intelligence, creativity, and accountability meet. By integrating lock screens, applications, televisions, and the open web with AI and machine learning, we provide enhanced attention, precise personalization, and measurable results.Through Glance AI, we are redefining AI Commerce and revolutionizing e-commerce with inspiration-led discovery and shopping. Seamlessly integrated into everyday consumer technology, Glance AI converts screens into gateways for instant, personalized, and delightful shopping experiences. Covering diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI offers deeply personalized shopping journeys. Leveraging rich first-party data and unparalleled consumer insights, it harnesses InMobi’s global scale to create high-impact, performance-driven shopping experiences for brands worldwide.Recognized as a Great Place to Work and featured by MIT Technology Review and Fast Company’s Top 10 Innovators, InMobi fosters a culture where bold ideas create a global impact. Backed by investors like SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi operates offices around the globe including San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, and Bengaluru.At InMobi Advertising, you will have the chance to influence how billions of users engage with content, commerce, and brands globally. To learn more, visit www.inmobi.com.About the RoleWe are developing next-generation ML-driven decision systems that power a global Demand Side Platform (DSP). These systems operate at scale, optimizing real-time marketplace decisions across pricing, targeting, fraud prevention, and performance enhancement.We seek a Senior Product Manager who excels at the convergence of business strategy, machine learning, and real-time systems. This role is ideal for someone who thrives in dynamic environments and is passionate about leveraging technology to drive business outcomes.
Cerebras Systems is at the forefront of AI technology, developing the largest AI chip in the world, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture enables the power of dozens of GPUs on a single chip, simplifying programming and delivering unparalleled training and inference speeds. This allows users to seamlessly run large-scale machine learning applications without the complexities of managing multiple GPUs or TPUs.Cerebras serves a diverse clientele, including leading model labs, global corporations, and pioneering AI startups. Recently, OpenAI forged a multi-year partnership with Cerebras, harnessing our technology to deliver 750 megawatts of scale for ultra-fast inference across critical workloads.Our wafer-scale architecture has positioned Cerebras as the provider of the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than traditional GPU-based hyperscale cloud inference services. This significant speed enhancement is revolutionizing the user experience of AI applications, facilitating real-time iterations and boosting intelligence through advanced computational capabilities.About The RoleAs the ML QA Lead, you will be instrumental in ensuring the quality of Cerebras software across all supported machine learning workloads and workflows. You will join the Machine Integration and Quality (MIQ) team, focusing on software component feature testing, ML training accuracy, performance validation, and pre-deployment checks for customer workloads.In this role, you will advocate for best practices in testing, promote effective debugging methodologies, and encourage strong communication across teams to deliver world-class products.ResponsibilitiesEnsure the quality of various software and hardware components of Cerebras solutions to guarantee the accuracy, performance, and usability of model training.Implement effective testing methodologies, enhance team communication, and utilize strong debugging skills.Uphold the highest quality standards across all components within the Cerebras environment.Automate workflows, establish testbeds, and develop tools for efficient monitoring and debugging.Innovate testing strategies to identify weaknesses in the system.
About WisdomAIAt WisdomAI, we are dedicated to democratizing data insights, empowering individuals and organizations to make informed decisions. Our innovative approach leverages Generative AI to revolutionize how employees access and interpret data insights. Join our growing team at an exciting time, as we collaborate with several Fortune 100 companies, allowing you to have a significant impact on the product and engineering roadmap.Role OverviewWe are in search of talented and driven NLP/Machine Learning interns to contribute to our exciting projects. You will engage in solving core challenges related to LLM-based code generation, document comprehension, context synthesis, and LLM-driven agents. Our team comprises experts from renowned organizations such as Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop, train, and fine-tune NLP/ML models for tasks including natural language queries, document understanding, and metric extraction.Create workflows and agentic pipelines for complex analytical processes.Design and implement evaluation frameworks to assess our query processing engine.Collaborate with team members to define and implement features in the WisdomAI product that utilize NLP capabilities, such as natural language query parsing and semantic modeling.Keep abreast of the latest developments in NLP/ML techniques, including research papers, tools, and open-source frameworks.QualificationsDemonstrated strong analytical skills with a proven ability to tackle complex NLP challenges.Familiarity with search/retrieval systems, LLMs, and evaluation pipelines is advantageous.Experience in a startup or fast-paced environment is highly desirable.Pursuing a Bachelor's or Master's degree in Computer Science or a related field.
Join our innovative team at Continental as a Software Engineer or Senior Software Engineer in Bengaluru. In this pivotal role, you will be responsible for designing and implementing cutting-edge software solutions that drive our automotive technologies forward. We are looking for passionate individuals who thrive in a collaborative environment and are eager to tackle complex challenges.
Key Responsibilities:• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.• Develop and create innovative curriculum content.• Conduct workshops and masterclasses in Digital Marketing and related subjects.• Provide mentoring and support to students in preparation for internships and job placements.• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.• Maintain accurate class records and relevant academic data.• Assess students’ performance and evaluate final scores, credits, and other university submissions.• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.
About WisdomAIAt WisdomAI, our mission is to democratize data access, enabling individuals and organizations to harness insights for better decision-making. We harness the transformative power of Generative AI to revolutionize how employees interact with data within their organizations. Join us now, as we partner with several Fortune 100 companies while still being in the early stages of our growth, allowing you to significantly influence our product and engineering direction.Role OverviewWe are seeking a talented Backend Software Engineer to join our founding team. You will be instrumental in developing machine learning (ML) and data pipelines that are efficient, secure, and scalable.Key ResponsibilitiesDesign and implement large-scale data pipelines to manage latency-sensitive analytical workloads.Utilize modern cloud infrastructure to create cost-effective and scalable solutions.Collaborate closely with customers and company founders to shape the product and engineering vision.Contribute to establishing a robust engineering culture and technology stack within the company.QualificationsProven experience in developing large-scale data pipelines.Bachelor's or Master's degree in Computer Science or a related field.Previous experience in a startup environment or fast-paced teams is highly advantageous.
At Beghou Consulting, we boast over 30 years of expertise in guiding life sciences companies to enhance their commercialization processes through strategic insights, cutting-edge analytics, and innovative technology solutions. We specialize in crafting go-to-market strategies, establishing robust data analytics infrastructures, and harnessing the power of artificial intelligence to elevate customer insights and engagement. Our comprehensive services enable life sciences firms to maximize their portfolio performance. With our headquarters in Evanston, Illinois, and 10 global offices, we are well-equipped to support our clients worldwide.Our mission is to unite analytical brilliance with transformative technology, aiding life sciences companies in navigating the complexities of healthcare to ultimately improve patient outcomes.In this pivotal role, you will be responsible for designing, developing, and deploying custom AI solutions for our pharmaceutical clientele. Collaborating closely with cross-functional teams, including data scientists, business consultants, and software developers, you'll translate complex challenges within the life sciences sector into innovative, AI-driven solutions.
Zuora supports organizations as they move toward subscription-based business models. The company’s products help clients manage recurring revenue and improve subscriber experiences across a range of industries. Team and Work Location This Senior Software Engineer position is part of the authentication and OneID team. The group manages user lifecycle processes for all Zuora products, creating a unified experience for administrators and end users. The role is based in Bengaluru and requires regular in-office attendance to encourage close collaboration with team members. Tech Stack Java Spring REST API Microservices Kafka NodeJS Postgres AWS Kubernetes Terraform ReactJS What You Will Do Lead projects from design through development and deployment. Refine code architecture to improve testability and long-term maintenance. Write, co-author, and review technical design documents. Join cross-team design reviews and offer technical guidance to improve execution and system reliability. Mentor junior engineers and help support their professional growth.
Join Eurofins Scientific as a Senior Software Engineer and be part of a dynamic team that is revolutionizing the scientific testing landscape. In this role, you will leverage your expertise in software development to create innovative solutions that enhance our laboratory services and analytical capabilities.
P-1408 Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets—such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models—on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets i…
About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.
Contract|$68K/yr - $100K/yr|Hybrid|Hybrid (Bengaluru, KA, IN)
About the RoleJoin GALILEO TECHNOLOGIES as a Senior Software Engineer where you will be integral in designing, developing, and enhancing our innovative products. We seek a talented engineer who thrives on tackling intricate challenges at the crossroads of Data and Machine Learning, with a keen interest in Observability and Reliability within the realm of Generative AI.
Join Western Digital as a Senior Scientist in Data Science, where you will lead pioneering research and development projects in the realms of Generative AI, interpretable machine learning, and statistical analysis. You will work alongside a talented team of data scientists and engineers to innovate and apply advanced algorithms to solve complex problems.
Join Anyscale as a Software Engineer specializing in Ray Serve. You will be at the forefront of developing scalable machine learning applications, contributing to a cutting-edge platform that enables users to run their machine learning workloads effortlessly. You will collaborate with a talented team to design, implement, and optimize features that enhance the performance and usability of our services.
Join Eurofins as an AI Software Engineer and contribute to cutting-edge projects at the forefront of technology. You will be responsible for designing, developing, and implementing AI solutions that drive innovation and efficiency. Collaborate with a talented team of engineers and data scientists to transform complex data into actionable insights.This role offers the opportunity to work in a dynamic environment where creativity and technical expertise are valued.
About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.POSITION SUMMARYAs a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.
Full-time|₹2.5M/yr - ₹4M/yr|On-site|Bengaluru, Karnataka, India
Join a dynamic team as a Member of Technical Staff specializing in Machine LearningSalary range: Rs 2500000 - Rs 4000000 (i.e., INR 25-40 LPA)Minimum Experience: 2 yearsLocation: BengaluruJob Type: Full-timeWe are seeking a passionate Member of Technical Staff – Machine Learning with 2–3 years of practical experience in Python development, API engineering, and expertise in Large Language Models (LLMs). In this role, you will be instrumental in creating and scaling ML-driven features, embedding AI capabilities into production systems, and aiding in the development of AI-first products.
Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.
Full-time|On-site|Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada
Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip—56 times the size of traditional GPUs. Our revolutionary wafer-scale architecture enables the processing power of multiple GPUs on a single chip, simplifying programming and enhancing efficiency. This innovation allows our clients to experience unparalleled training and inference speeds, facilitating the seamless execution of large-scale machine learning applications without the complexity of managing numerous GPUs or TPUs.Cerebras serves a diverse clientele, including leading model labs, global corporations, and pioneering AI startups. Notably, OpenAI has formed a multi-year partnership with Cerebras to harness 750 megawatts of power, revolutionizing key workloads through ultra-high-speed inference.Our cutting-edge wafer-scale architecture enables Cerebras Inference to provide the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based cloud inference services. This significant acceleration is transforming how users interact with AI applications, promoting real-time iterations and enhancing intelligence through advanced computational capabilities.About The RoleAs a leader in large-scale AI supercomputers, Cerebras Systems deploys multi-exaflop supercomputers in some of the largest data centers worldwide. Our supercomputers leverage Wafer-Scale Cluster technology, consisting of multiple Wafer Scale Engine (WSE) chips. The Cluster engineering team is tasked with delivering comprehensive software solutions for our clusters.ResponsibilitiesAutomate the bare-metal configuration of networking, operating systems, and application software across extensive clusters of Cerebras WSE, servers, and switches.Implement additional streamlined workflows for cluster upgrades, downgrades, and security patching, with key performance metrics designed to minimize cluster downtime.Develop an orchestration and scheduling system for resource allocation and job submissions in a multi-user cluster environment.Provide seamless support for both on-premise and cloud-based deployment and operations.Create a robust monitoring system capable of detecting and addressing failures across various cluster resources, ensuring high availability.
Role overview Eurofins Scientific seeks a Software Engineer specializing in Artificial Intelligence and Machine Learning for its Bengaluru office. The position focuses on creating and refining AI/ML solutions that drive important company projects. What you will do Collaborate with cross-functional teams to design and build software that uses AI and machine learning techniques. Emphasis is on scalable and efficient solutions. Apply technical knowledge to improve product features and make operations more efficient. Location This position is located in Bengaluru.
Join InMobi Advertising, a pioneering global technology firm that empowers marketers to seize pivotal moments. Our advertising platform connects with over 2 billion users across 150+ countries, transforming real-time context into impactful business outcomes underpinned by privacy-first principles. Trusted by over 30,000 brands and top publishers, InMobi is where intelligence, creativity, and accountability meet. By integrating lock screens, applications, televisions, and the open web with AI and machine learning, we provide enhanced attention, precise personalization, and measurable results.Through Glance AI, we are redefining AI Commerce and revolutionizing e-commerce with inspiration-led discovery and shopping. Seamlessly integrated into everyday consumer technology, Glance AI converts screens into gateways for instant, personalized, and delightful shopping experiences. Covering diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI offers deeply personalized shopping journeys. Leveraging rich first-party data and unparalleled consumer insights, it harnesses InMobi’s global scale to create high-impact, performance-driven shopping experiences for brands worldwide.Recognized as a Great Place to Work and featured by MIT Technology Review and Fast Company’s Top 10 Innovators, InMobi fosters a culture where bold ideas create a global impact. Backed by investors like SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi operates offices around the globe including San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, and Bengaluru.At InMobi Advertising, you will have the chance to influence how billions of users engage with content, commerce, and brands globally. To learn more, visit www.inmobi.com.About the RoleWe are developing next-generation ML-driven decision systems that power a global Demand Side Platform (DSP). These systems operate at scale, optimizing real-time marketplace decisions across pricing, targeting, fraud prevention, and performance enhancement.We seek a Senior Product Manager who excels at the convergence of business strategy, machine learning, and real-time systems. This role is ideal for someone who thrives in dynamic environments and is passionate about leveraging technology to drive business outcomes.
Cerebras Systems is at the forefront of AI technology, developing the largest AI chip in the world, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture enables the power of dozens of GPUs on a single chip, simplifying programming and delivering unparalleled training and inference speeds. This allows users to seamlessly run large-scale machine learning applications without the complexities of managing multiple GPUs or TPUs.Cerebras serves a diverse clientele, including leading model labs, global corporations, and pioneering AI startups. Recently, OpenAI forged a multi-year partnership with Cerebras, harnessing our technology to deliver 750 megawatts of scale for ultra-fast inference across critical workloads.Our wafer-scale architecture has positioned Cerebras as the provider of the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than traditional GPU-based hyperscale cloud inference services. This significant speed enhancement is revolutionizing the user experience of AI applications, facilitating real-time iterations and boosting intelligence through advanced computational capabilities.About The RoleAs the ML QA Lead, you will be instrumental in ensuring the quality of Cerebras software across all supported machine learning workloads and workflows. You will join the Machine Integration and Quality (MIQ) team, focusing on software component feature testing, ML training accuracy, performance validation, and pre-deployment checks for customer workloads.In this role, you will advocate for best practices in testing, promote effective debugging methodologies, and encourage strong communication across teams to deliver world-class products.ResponsibilitiesEnsure the quality of various software and hardware components of Cerebras solutions to guarantee the accuracy, performance, and usability of model training.Implement effective testing methodologies, enhance team communication, and utilize strong debugging skills.Uphold the highest quality standards across all components within the Cerebras environment.Automate workflows, establish testbeds, and develop tools for efficient monitoring and debugging.Innovate testing strategies to identify weaknesses in the system.
About WisdomAIAt WisdomAI, we are dedicated to democratizing data insights, empowering individuals and organizations to make informed decisions. Our innovative approach leverages Generative AI to revolutionize how employees access and interpret data insights. Join our growing team at an exciting time, as we collaborate with several Fortune 100 companies, allowing you to have a significant impact on the product and engineering roadmap.Role OverviewWe are in search of talented and driven NLP/Machine Learning interns to contribute to our exciting projects. You will engage in solving core challenges related to LLM-based code generation, document comprehension, context synthesis, and LLM-driven agents. Our team comprises experts from renowned organizations such as Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop, train, and fine-tune NLP/ML models for tasks including natural language queries, document understanding, and metric extraction.Create workflows and agentic pipelines for complex analytical processes.Design and implement evaluation frameworks to assess our query processing engine.Collaborate with team members to define and implement features in the WisdomAI product that utilize NLP capabilities, such as natural language query parsing and semantic modeling.Keep abreast of the latest developments in NLP/ML techniques, including research papers, tools, and open-source frameworks.QualificationsDemonstrated strong analytical skills with a proven ability to tackle complex NLP challenges.Familiarity with search/retrieval systems, LLMs, and evaluation pipelines is advantageous.Experience in a startup or fast-paced environment is highly desirable.Pursuing a Bachelor's or Master's degree in Computer Science or a related field.
Join our innovative team at Continental as a Software Engineer or Senior Software Engineer in Bengaluru. In this pivotal role, you will be responsible for designing and implementing cutting-edge software solutions that drive our automotive technologies forward. We are looking for passionate individuals who thrive in a collaborative environment and are eager to tackle complex challenges.
Key Responsibilities:• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.• Develop and create innovative curriculum content.• Conduct workshops and masterclasses in Digital Marketing and related subjects.• Provide mentoring and support to students in preparation for internships and job placements.• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.• Maintain accurate class records and relevant academic data.• Assess students’ performance and evaluate final scores, credits, and other university submissions.• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.
About WisdomAIAt WisdomAI, our mission is to democratize data access, enabling individuals and organizations to harness insights for better decision-making. We harness the transformative power of Generative AI to revolutionize how employees interact with data within their organizations. Join us now, as we partner with several Fortune 100 companies while still being in the early stages of our growth, allowing you to significantly influence our product and engineering direction.Role OverviewWe are seeking a talented Backend Software Engineer to join our founding team. You will be instrumental in developing machine learning (ML) and data pipelines that are efficient, secure, and scalable.Key ResponsibilitiesDesign and implement large-scale data pipelines to manage latency-sensitive analytical workloads.Utilize modern cloud infrastructure to create cost-effective and scalable solutions.Collaborate closely with customers and company founders to shape the product and engineering vision.Contribute to establishing a robust engineering culture and technology stack within the company.QualificationsProven experience in developing large-scale data pipelines.Bachelor's or Master's degree in Computer Science or a related field.Previous experience in a startup environment or fast-paced teams is highly advantageous.
At Beghou Consulting, we boast over 30 years of expertise in guiding life sciences companies to enhance their commercialization processes through strategic insights, cutting-edge analytics, and innovative technology solutions. We specialize in crafting go-to-market strategies, establishing robust data analytics infrastructures, and harnessing the power of artificial intelligence to elevate customer insights and engagement. Our comprehensive services enable life sciences firms to maximize their portfolio performance. With our headquarters in Evanston, Illinois, and 10 global offices, we are well-equipped to support our clients worldwide.Our mission is to unite analytical brilliance with transformative technology, aiding life sciences companies in navigating the complexities of healthcare to ultimately improve patient outcomes.In this pivotal role, you will be responsible for designing, developing, and deploying custom AI solutions for our pharmaceutical clientele. Collaborating closely with cross-functional teams, including data scientists, business consultants, and software developers, you'll translate complex challenges within the life sciences sector into innovative, AI-driven solutions.
Zuora supports organizations as they move toward subscription-based business models. The company’s products help clients manage recurring revenue and improve subscriber experiences across a range of industries. Team and Work Location This Senior Software Engineer position is part of the authentication and OneID team. The group manages user lifecycle processes for all Zuora products, creating a unified experience for administrators and end users. The role is based in Bengaluru and requires regular in-office attendance to encourage close collaboration with team members. Tech Stack Java Spring REST API Microservices Kafka NodeJS Postgres AWS Kubernetes Terraform ReactJS What You Will Do Lead projects from design through development and deployment. Refine code architecture to improve testability and long-term maintenance. Write, co-author, and review technical design documents. Join cross-team design reviews and offer technical guidance to improve execution and system reliability. Mentor junior engineers and help support their professional growth.
Join Eurofins Scientific as a Senior Software Engineer and be part of a dynamic team that is revolutionizing the scientific testing landscape. In this role, you will leverage your expertise in software development to create innovative solutions that enhance our laboratory services and analytical capabilities.
