Senior Machine Learning Compiler Engineer - Compute

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.

Join blueoptima as a Senior Machine Learning Founding Engineer and play a pivotal role in shaping innovative machine learning solutions. As a founding member, you will leverage your expertise to design, develop, and deploy cutting-edge ML algorithms that drive our business forward.This position offers a unique opportunity to work in a dynamic startup environment where your contributions will directly impact our growth and success.

Role overview BlueOptima seeks a Senior Java Software Engineer to join the team in Bangalore. The focus is on building and enhancing software products that help clients achieve their goals. The ideal candidate brings strong Java development experience and a commitment to delivering reliable, high-quality solutions. What you will do Design, develop, and maintain applications using Java Collaborate with fellow engineers to deliver new features and product enhancements Support ongoing projects that improve BlueOptima's products and services Follow software engineering best practices to maintain code quality and performance Requirements Professional experience in Java development Ability to work closely with team members on complex technical challenges Strong problem-solving skills and attention to detail This role is located in Bangalore.

Join our innovative team at axicorp financial services as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your advanced skills in machine learning and artificial intelligence to design, develop, and implement cutting-edge models that drive business solutions. You will collaborate with cross-functional teams to extract insights from large datasets, enhancing our product offerings and customer experiences.

Join our dynamic team at HackerRank as a Machine Learning Engineer, where you will harness the power of AI to drive innovation and enhance coding skills across the globe. You will work on cutting-edge projects that challenge your technical expertise while collaborating with talented professionals in a hybrid work environment.

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.

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.

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.

About GracenoteGracenote, a Nielsen company, is committed to bridging the gap between audiences and the entertainment they cherish, shaping a brighter media future for everyone. As the content data division of Nielsen, Gracenote enhances innovative entertainment experiences for preeminent media entities globally. Our entertainment metadata and connected IDs facilitate advanced content navigation and discovery, enabling consumers to connect with the content they adore. Gracenote's premier datasets span TV shows, movies, sports, music, and podcasts across 80 countries and 35 languages. We provide universally adopted identifiers that empower the world's leading media companies, fostering powerful cross-media entertainment experiences. Our machine-driven, human-validated data and images propel new search and discovery experiences on every screen.Role OverviewAs a Principal Data Scientist, you will take on the role of the primary technical architect for our AI/ML ecosystem. Your responsibilities will include shaping the long-term technical vision for media understanding and generation, transitioning from tactical project delivery to constructing the foundational frameworks that will fuel our next generation of products. This position requires a unique combination of scientific leadership, technical expertise, and the capability to influence cross-functional teams and executive stakeholders without formal authority. You will mitigate risks associated with new initiatives through prototyping, lead the design of multimodal data foundations, and ensure our systems can scale to meet the global media catalog's demands.Key ResponsibilitiesScientific and Strategic Leadership: Define the technical vision for AI/ML across the content product ecosystem. Identify high-impact opportunities for Generative AI, agentic solutions, and computer vision to revolutionize content promotion, distribution, and metadata extraction.System Architecture Design: Construct intricate, multimodal machine learning systems that amalgamate visual, audio, and textual data. Create end-to-end ML data foundations for efficient, reliable data annotation, processing, and storage at a petabyte scale.Technical Excellence and Innovation: Spearhead the design of horizontal foundational capability layers (“shared paved paths”) that scale across various use cases, replacing isolated builds with integrated platforms. Assess and incorporate cutting-edge research in diffusion models, vision transformers, and multi-agent architectures.Inference Optimization and Scalability: Supervise the development of high-performance inference systems, employing GPU acceleration and optimization techniques (quantization, pruning, TensorRT) to attain optimal accuracy-latency trade-offs for real-time and batch workloads.Evaluation and Observability: Establish rigorous and scalable evaluation frameworks, leveraging A/B testing and advanced metrics to quantify the effectiveness of deployed models.

BlueOptima is on the lookout for a skilled Senior Product Manager to take charge of the strategy, roadmap, and commercial viability of our newly acquired Active MultiSite product suite. This pivotal role is integral to our efforts to penetrate the enterprise DevOps infrastructure market. The successful candidate will define a visionary approach to deliver unmatched performance, availability, and security for the version control systems that empower the globe's most innovative organizations. We seek a technically proficient product leader who is passionate about developing highly available, performant, and secure on-premise solutions tailored for the most demanding software development teams. This position requires a blend of operational excellence—ensuring the success of a core business—and strategic foresight to uncover and validate new market opportunities. Previous experience in high-ambiguity, scaling environments will be highly regarded.Key ResponsibilitiesProduct Strategy & Vision: Formulate and implement a product strategy that reinforces our leadership in active-active replication for Git, Gerrit, and Subversion. Establish a clear vision for the product line and its integration into the overarching BlueOptima Software Engineering Intelligence Platform.Roadmap Ownership: Lead and oversee the product roadmap from inception through to launch. Prioritize initiatives through thorough analysis of customer needs, market potential, competitive landscape, and strategic company objectives, including anticipating challenges posed by the rapid evolution of software development processes powered by generative AI.Strategic Incubation & Market Expansion: Exhibit a “0-to-1” product mindset by swiftly identifying, validating, and prototyping new, adjacent, or unrelated market prospects for our core technology. Function as a self-starter, steering initiatives with significant autonomy and comfort in dynamic, ambiguous environments akin to those of high-growth startups or scaling businesses.Technical Collaboration: Work closely with a top-tier engineering team to deliver a dependable, scalable, and secure on-premise product. Transform market requirements into precise and detailed technical specifications.Go-to-Market Execution: Collaborate with enterprise sales, marketing, customer success/support, and engineering teams to articulate our unique value proposition. Create compelling product positioning, messaging, and sales enablement assets, such as competitive battlecards, technical whitepapers, and product demonstrations.Integration Leadership: Define and implement an integration strategy with BlueOptima's core software engineering analytics platform, establishing a cohesive solution that mutually enhances both offerings.

Join Bosch Group as a Senior Machine Learning Engineer and be at the forefront of innovative technology solutions. You will leverage your expertise in machine learning to develop cutting-edge models and algorithms that drive our projects forward. Collaborate with a dedicated team to implement real-world applications of AI and machine learning, contributing to the advancement of our products and services.

Roles and Responsibilities• Design and execute machine learning models that assess the value of digital content.• Work collaboratively with a diverse team to create innovative solutions addressing intricate challenges in the AI economics field.• Utilize data-driven insights to formulate strategies that will influence our product development.• Ensure the quality and reliability of information by identifying and addressing issues such as content authenticity and plagiarism.

Join our dynamic team at blueoptima as a Java Web Backend Engineer! We are in search of a passionate professional with a strong background in designing, developing, and maintaining scalable SaaS applications utilizing Java/J2EE technologies. The ideal candidate should possess a tech-savvy mindset, a drive for excellence, and a desire to evolve into a leadership role among our talented engineers.As part of a self-managed Agile team, you will enhance our development processes, contribute fresh ideas, and suggest methodologies and organizational changes.Your Responsibilities:Analyze, design, develop, implement, test, and maintain application software components.Translate client requirements into technical specifications.Take ownership of feature development and enhancements.Identify and rectify performance bottlenecks.Address architectural inefficiencies and devise a roadmap for improvements.Mentor and lead junior developers.Provide technical support to internal client-facing teams.Engage with clients to offer support on your components as needed.

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.

As a Senior Java Software Engineer at blueoptima in Bangalore, this position centers on designing, building, and maintaining software systems. The work directly supports the delivery of reliable software products to clients and partners. Role overview This role focuses on using advanced Java skills to create and support software solutions. Attention to quality and effective problem-solving are key parts of the daily work. What you will do Design software components and architecture using Java Develop new features and maintain existing codebases Troubleshoot issues and contribute to continuous improvement of software quality Requirements Strong experience with Java development Demonstrated problem-solving ability

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.

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.

Join parspec as a Data Scientist and leverage your analytical skills to drive data-driven decision-making within our innovative team. You will work on various projects that require a deep understanding of data analysis, machine learning, and statistical modeling. Collaborate with cross-functional teams to transform complex data into actionable insights that enhance our products and services.