Staff Data Engineer - Machine Learning at Netradyne

Netradyne’s Bangalore team is hiring a Staff Data Engineer focused on machine learning and data platforms for AI-powered fleet analytics. This senior technical position shapes the systems that power Netradyne’s driver safety and fleet management products, working closely with experts in machine learning, data science, and product development. Role overview This role centers on designing, building, and scaling machine learning pipelines that support advanced analytics and generative AI features. The Staff Data Engineer will also implement real-time data streaming systems for both cloud and edge environments, contributing directly to the infrastructure behind Netradyne’s Physical AI vision. This vision interprets multimodal vehicle data to understand the interplay between drivers, vehicles, and their surroundings. What you will do Design and scale robust machine learning pipelines for large-scale fleet analytics Develop generative AI features that enhance Netradyne’s analytics capabilities Build and maintain real-time data streaming systems across cloud and edge platforms Work closely with machine learning engineers, data scientists, and product teams to integrate new AI-driven features Advance on-device edge intelligence and natural language-driven functionalities within the platform Shape the data infrastructure to better understand interactions between drivers, vehicles, and environments Location This position is based in Bangalore.

Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.Key Responsibilities:In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:Developing and enhancing tools, frameworks, and reporting systems for system optimization.Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.Advancing data platforms and fine-tuning machine learning models utilized on our platforms.Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).Handling production inquiries and ensuring the stability of applications in live environments.Effectively communicating complex technical findings to a diverse audience.

Netradyne is at the forefront of technological innovation, utilizing Computer Vision and Edge Computing to transform the transportation landscape. As a prominent leader in fleet safety solutions, we have witnessed unprecedented growth, expanding over four times year-over-year. Our cutting-edge solutions are rapidly being recognized as revolutionary technologies. We are on the lookout for dynamic, innovative, and competitive team members to join us in our journey of growth.About Netradyne:Netradyne specializes in AI-driven technologies designed for enhanced fleet management and safer roadways. We are an award-winning leader in fleet safety and video telematics solutions, empowering numerous commercial fleet clients across North America, Europe, and Asia to improve driver performance, mitigate risks, and streamline operations.Setting industry benchmarks in transportation technology, Netradyne has analyzed over 25 billion miles for risk assessment and pioneered a driver scoring system that promotes safe driving behavior. Founded in 2015 and headquartered in San Diego, we also have offices in San Francisco, Nashville, the UK, and Bangalore.For more information, visit: www.netradyne.com

Netradyne leverages cutting-edge Computer Vision and Edge Computing technologies to transform the contemporary transportation landscape. As a frontrunner in fleet safety solutions, our rapid growth, exceeding four times year-over-year, has positioned our innovations as pivotal disruptive technologies. We are expanding our team and seek visionary, competitive individuals who are committed to driving our success.Job Overview:Our team is dedicated to ensuring that AI systems deployed on a large scale are measurable, reliable, and ready for decision-making. We create robust evaluation frameworks, analytics platforms, and KPI audits that significantly influence product direction and real-world safety results. In the role of Staff Data Scientist, you will lead the definition, implementation, and enhancement of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real-world applications. This position focuses on measurement precision, error analysis, experimentation, and decision support—ensuring metrics accurately represent system performance, business impact, and safety outcomes.Key Responsibilities:Evaluation & Measurement OwnershipDesign, implement, and maintain both offline and online evaluation frameworks for AI/ML features.Define, validate, and refine KPIs, success metrics, and audit methodologies utilized across various teams.Conduct comprehensive error analysis, bias examination, and segmentation to uncover failure modes and areas for improvement.Manage golden datasets, validation protocols, and benchmarking standards.Analytics & Insight GenerationPerform extensive analytical studies to assess feature performance, data quality challenges, and system behavior.Translate complex analytical results into clear, actionable insights for engineering, product, and leadership stakeholders.Critique existing metrics or evaluation methodologies when they fail to reflect actual conditions.Experimentation & Statistical RigorDesign and review experiments including offline evaluations, controlled rollouts, and A/B testing.Ensure statistical accuracy in analysis, including bias, variance, confidence intervals, and significance.

Role overview Netradyne is hiring a Staff Engineer - Hardware in Bangalore to design, test, and implement hardware systems for automotive technology. The position centers on developing solutions that enhance vehicle safety and performance. What you will do Design and develop hardware systems tailored for automotive applications Test and validate hardware to ensure it meets safety and performance standards Collaborate with engineers from other disciplines to deliver reliable products Apply technical expertise to support ongoing hardware projects Location This role is based in Bangalore.

Netradyne leverages advanced Computer Vision and Edge Computing technologies to transform the contemporary transportation landscape. As a frontrunner in fleet safety solutions, our growth trajectory has surpassed 4x annually, establishing our offerings as a pivotal disruptive technology. We are expanding our team and seeking innovative, resolute, and competitive individuals to propel our progress.Job Title: Senior Staff Engineer (BSP Developer)Location: Whitefield, BangaloreEmployment Type: Full-TimeWork Model: On-site (5 days in-office)Experience Required: 10+ yearsJob Overview: In the role of Senior Staff Engineer at Netradyne, you will spearhead the creation of groundbreaking software solutions that will define our next-generation products. You will engage with multidisciplinary teams to deliver scalable and dependable software applications in a dynamic environment.

Netradyne leverages advanced Computer Vision and Edge Computing technologies to transform the contemporary transportation landscape. As a frontrunner in fleet safety solutions, we are experiencing rapid growth, with our innovative solutions being recognized as pivotal disruptive technologies. We are expanding our team and are in search of visionary, tenacious, and competitive individuals to drive our continued success.About Netradyne:Netradyne offers cutting-edge AI-driven technologies designed for fleet management and road safety. As an award-winning leader in fleet safety and video telematics, Netradyne empowers thousands of commercial fleet operators across North America, Europe, and Asia to enhance driver performance, minimize risks, and streamline operations.Since our inception in 2015, we have set the benchmark within the transportation technology sector for promoting and ensuring road safety, analyzing over 25 billion miles for risks and introducing an industry-first driver scoring mechanism that encourages safe driving behaviors. Our headquarters is located in San Diego, with additional offices in San Francisco, Nashville, the UK, and Bangalore.For more details, please visit: www.netradyne.com

Join blueoptima as a Machine Learning Data Engineer, where your expertise will drive the creation and management of vital data pipelines to interpret our distinctive GIS datasets. You will develop analyses that range from foundational statistics to advanced machine learning solutions.Our innovative technology demands skilled engineers who are enthusiastic about problem-solving and ownership of the solutions they implement. This is an exciting opportunity to be part of a rapidly expanding company in its early stages, allowing you to craft your own success story.Your TeamOur Data Engineering team accelerates value creation for stakeholders by delivering production-ready solutions and actionable insights. We enhance every aspect of blueoptima’s data, driving success through data-driven innovation.You will collaborate closely with a diverse team of experts in Data Analytics, Machine Learning, Computer Vision, Artificial Intelligence, and Geospatial Analytics. The engineering team is primarily located in our Gurgaon office.Key ResponsibilitiesUtilizing your statistics and ML expertise to address real-world challenges with our collision risk analytics platform.Spotting new opportunities to automate processes and derive insights from diverse data sources.Keeping abreast of cutting-edge numerical and computer vision methodologies in the ML field.Implementing models on AWS infrastructure.Taking ownership of projects from prototype to automation, deployment, and maintenance.Establishing monitoring and data quality automation for production solutions.Mentoring team members in best practices for solution ownership and development.Effectively communicating complex ideas to client-facing teams and non-technical stakeholders.Designing and maintaining optimized, robust, and scalable systems.Identifying project requirements and critical paths to resolve challenges, along with providing clear timeline estimates.Employing data-driven strategies to validate assumptions and track progress on implemented changes.

Netradyne leverages cutting-edge Computer Vision and Edge Computing technologies to transform the contemporary transportation landscape. As a pioneer in fleet safety solutions, our growth has surged over 400% year over year, establishing our solutions as a powerful disruptive force in the industry. We are expanding our team and seeking innovative, driven, and competitive individuals who are eager to contribute to our continued success.This opportunity allows employees to refer candidates regardless of whether a specific position is currently open.We are dedicated to fostering an inclusive and diverse workplace. Netradyne is an equal-opportunity employer that promotes equality and does not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any other legally protected status.If your qualifications align with our needs, we will reach out to you directly.Please note: Applicants only - we kindly ask recruiting agencies not to contact us.Warning Against Recruitment Fraud!Be vigilant as there has been a rise in fraudulent activities targeting job seekers. Scammers may impersonate Netradyne employees or recruiters. Please be aware that Netradyne will never ask for sensitive personal information through unsecured channels like text messages or direct messages. We do not request advance payments for work-related equipment and do not collaborate with recruitment agencies that charge candidates fees. Official correspondence regarding your application will only originate from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.For available job openings, please visit Netradyne.com/company/careers. To learn more about identifying and reporting scams, please check the Federal Trade Commission's job scams website.

Netradyne is at the forefront of transforming the transportation industry through innovative Computer Vision and Edge Computing technologies. As a recognized leader in fleet safety solutions, we are experiencing remarkable growth, surpassing 4x year over year. Our groundbreaking solutions are making a significant impact as disruptive technologies in the market. As we expand our team, we are seeking dynamic, competitive, and innovative individuals to join us in driving our mission forward.Job Title: Senior Technical Support AnalystExperience: 4-6 YearsThe Senior Technical Support Analyst serves as a vital first-level contact between Netradyne and our valued customers. In this role, you will be responsible for diagnosing and resolving technical issues reported by customers, while collaborating with cross-functional teams to guarantee timely and effective solutions. You will engage directly with customers to troubleshoot hardware and software challenges related to Netradyne’s connected vehicle platforms.This position is crucial in ensuring customer success by delivering prompt and precise resolutions to customer-reported issues and service requests. The ideal candidate will possess strong English communication skills, exceptional customer relationship management abilities, and prior experience in supporting international clients (preferably from the US or UK).As we operate a 24x7x365 support center, we require candidates who are flexible to work any shift based on business needs, including weekends (Saturday and/or Sunday).

For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.

Role overview Netradyne is seeking a Senior Staff or Staff Backend Engineer based in Bangalore. This position centers on building and maintaining backend systems that power the company’s technology products. Candidates should bring significant engineering experience and a record of delivering dependable backend solutions. What you will do Design, develop, and maintain backend systems for Netradyne’s products Collaborate with engineering, product, and other teams to create scalable architectures Optimize backend systems for performance and reliability Apply technical expertise to enhance product capabilities and efficiency What we value Creative approaches to problem-solving Strong technical skills in backend engineering Collaboration and clear communication with colleagues across functions

Zscaler seeks a Senior Staff Machine Learning Engineer based in Bangalore. This role leads significant projects in machine learning and artificial intelligence, directly influencing the evolution of Zscaler’s cloud security platform. Responsibilities Design and implement scalable machine learning models and algorithms for cloud security applications Guide technical decisions to align with business objectives Collaborate with cross-functional teams to improve and expand core features of Zscaler’s platform Role Impact Work in this position strengthens Zscaler’s platform by advancing the integration of machine learning and AI. The results of these efforts deliver value to both the business and its customers.

Role OverviewThe Senior Machine Learning Engineer for the Extraction team at Jumio is pivotal in driving the innovation of cutting-edge data extraction solutions for ID verification. This position is crucial for upholding the highest standards of security and user verification using advanced machine learning and deep learning methodologies. Your work will reinforce Jumio's position as a leader in the online identity verification, eKYC, and AML solutions marketplace. Role ImpactAs a Senior Machine Learning Engineer, you will significantly enhance the security and efficiency of our ID verification solutions. Leveraging your expertise in machine learning, deep learning, and computer vision, you will develop innovative algorithms that position Jumio as a front-runner in the industry. By deploying and managing these models in production environments, you will ensure the reliability and effectiveness of our solutions across various sectors, including Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions are essential for maintaining Jumio's esteemed reputation as the top provider of online identity verification solutions, meeting the escalating demand for secure and seamless user verification on a global scale. Key ResponsibilitiesDesign and execute machine learning, deep learning, classical computer vision, and NLP algorithms aimed at data extraction.Conduct research to facilitate the deployment of sophisticated algorithms.Develop and maintain high-quality production code.Deploy models as AWS SageMaker endpoints or directly on devices.Stay abreast of the latest advancements in deep learning, computer vision, and NLP through academic research and industry conferences.Collaborate with fellow engineers and product managers in an Agile development environment.

Join HackerRank as a Machine Learning Engineer specializing in Evaluation! In this dynamic role, you will leverage your expertise in machine learning and data science to enhance our evaluation processes. Collaborate with cross-functional teams to develop innovative solutions that drive efficiency and accuracy in our assessments. Your contributions will play a critical role in shaping our technology and impacting the global tech community.

About ParspecFounded in 2021, Parspec is at the forefront of transforming material procurement within the $13 trillion USD construction industry. By digitizing and systematically organizing product data, our innovative AI technology provides a current and comprehensive catalogue of millions of products. This empowers our clients—designers, builders, distributors, and sales agents—to swiftly identify the products that align perfectly with their requirements. Supported by leading venture investors, Parspec is committed to paving the way for a more sustainable, connected, and innovative future in construction.Join us in creating transformative technology that reshapes one of the world’s oldest and largest industries.The OpportunityWe are on the lookout for a skilled and passionate Senior Machine Learning Engineer to become a vital part of our AI team. In this role, you will spearhead the development of advanced AI systems, designing, developing, and deploying state-of-the-art machine learning models, including optimizations for large language models (LLMs). You will be faced with complex data science challenges, working collaboratively with business, product, and engineering teams to deliver impactful AI-driven features. As a Senior ML Engineer, you'll lead intricate technical projects while mentoring junior team members and driving initiatives from conception through to deployment.This position provides a unique chance to be at the leading edge of innovation, utilizing advanced AI technologies to disrupt the construction industry.What You Will Achieve and Key ResponsibilitiesResearch, Design, Develop and Deploy AI Models and SystemsLead the research and development of diverse AI models, from small classifiers to fine-tuning LLMs for specific applications.Design, implement, and deploy AI-based solutions addressing business and product challenges.Establish and execute strategies to monitor and enhance the performance and efficiency of existing and new AI models and systems.Operationalize efficient dataset creation and management.Implement best practices for end-to-end data and AI pipelines.Collaborate closely with the leadership team on research and development initiatives to explore cutting-edge technologies.Work in partnership with cross-functional teams, including full-stack engineers, product managers, QA engineers, data annotation experts, and other stakeholders to ensure the successful implementation of AI technologies.

Netradyne leverages cutting-edge technologies like Computer Vision and Edge Computing to transform the transportation landscape. As a frontrunner in fleet safety solutions, our growth trajectory has surpassed 4x annually, solidifying our position as a disruptive force in the industry. We are expanding our team and are on the lookout for innovative and competitive individuals to drive our continuous progress.Job Title: Staff / Senior Staff - SOC AnalystLocation: Netradyne, Bangalore.Experience – 6 to 13 yearsAbout Netradyne -Netradyne stands at the forefront of AI-driven safety and fleet management technologies. Our mission is to enhance driver safety, boost operational efficiency, and improve user experiences. In this rapidly evolving environment, we are dedicated to securing a connected future for the transportation sector through our innovative solutions.Role OverviewThe SOC Analyst will be pivotal in monitoring, detecting, investigating, and responding to cybersecurity threats across various platforms, including enterprise systems, cloud infrastructure, SaaS applications, and more. This role is essential in supporting the Security Operations Center to safeguard company assets, protect customer data, and ensure platform availability.Key ResponsibilitiesSecurity MonitoringOversee alerts and logs from SIEM, EDR, and cloud security platformsInvestigate security alerts and conduct initial incident triageExamine logs from endpoint, network, identity, and email security systemsIncident Detection & ResponseEvaluate suspicious activities and assess severityEscalate incidents according to SOC response protocolsAssist in incident investigation, containment, and root cause analysisThreat Hunting & IntelligenceEngage in proactive threat huntingExamine Indicators of Compromise (IOCs)Stay updated on emerging cybersecurity threatsCloud & SaaS Security MonitoringMonitor security events across various platforms.

Netradyne leverages cutting-edge Computer Vision and Edge Computing technologies to transform the transportation industry. As a frontrunner in fleet safety solutions, we have experienced remarkable growth exceeding 400% year over year, making our solution a pivotal disruptive force in the market. Our team is expanding, and we seek innovative, driven, and competitive individuals to help us continue this trajectory.About NetradyneNetradyne specializes in AI-driven technologies for fleet management and road safety. An acclaimed leader in fleet safety and video telematics, we support thousands of commercial fleet clients across North America, Europe, and Asia in enhancing driver performance, mitigating risks, and optimizing operational efficiency.We set the benchmark for enhancing and maintaining road safety, having analyzed over 25 billion miles for potential risks and introduced an industry-first driver scoring system that promotes safe driving behaviors. Established in 2015, Netradyne is headquartered in San Diego with additional offices in San Francisco, Nashville, the UK, and Bangalore. For more information, visit: www.netradyne.com

Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.

Join Our Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.