Applied AI Engineer - Forward Deployed Machine Learning | Singapore

About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and Formula One racing, committed to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software suite for the engineering and manufacturing sectors across advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens new avenues for optimization and automation in design, manufacturing, and operations—empowering engineers to transcend traditional boundaries. Our clientele includes forefront innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical leader focused on making a significant impact. You are adept at comprehending intricate engineering concepts across various industries, spearheading technical initiatives, and collaborating closely with customers—often working alongside them on-site—to integrate cutting-edge AI models into practical tools.You possess a proven track record of delivering machine learning systems end-to-end at scale: you design, build, and test reliable, scalable ML data pipelines; you are skilled in exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling; you choose the most suitable libraries, frameworks, and tools while making pragmatic product decisions that set the Delivery team up for success. Operating at the intersection of data science and software engineering, you convert R&D outputs into reusable libraries, tooling, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also mentor and lead others. Your enthusiasm for taking ownership of complex work streams and guiding teams to success is matched by your commitment to continuously enhancing the systems and solutions you work on to ensure they are practical, impactful, and responsive to our customers' evolving needs.This RoleAs a Senior Machine Learning Engineer, your collaboration with Data Scientists, Simulation Engineers, and clients will be crucial in understanding and defining the engineering and physics challenges we tackle. You will engage with customers and leverage your influence to drive decisions regarding reliable deployment with measurable outcomes.Your responsibilities will include:Taking ownership of the deployment of machine learning models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.Communicating results and trade-offs effectively to various stakeholders.

About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and the high-performance world of Formula One, committed to revolutionizing hardware innovation with the agility of software development.We are developing an AI-driven simulation software suite designed for engineering and manufacturing in advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference across the entire engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operations. Our clientele includes top innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We Are SeekingAs a Senior CFD Engineer (Delivery), you will be a creative problem solver and builder, dedicated to developing practical solutions that help our customers enhance their engineering decisions. You possess the ability to understand and apply advanced engineering principles across various industries, and excel in collaborating directly with clients, often on-site, to construct CAE models integrated into AI tools that are both functional and widely utilized.Your expertise encompasses fluid mechanics, heat transfer, and multiphase modeling, alongside a robust capacity to translate fundamental knowledge into practical applications across diverse engineering challenges. You are highly skilled in at least one of the following simulation tools: Star-CCM+, OpenFOAM, or Fluent, and proficient in automating these tools to create scalable optimization workflows that yield significant outcomes. Familiarity with parametric CAD modeling (NX or CATIA) and coding experience in Python/Java (or the capability to swiftly learn programming languages) is a plus.With 3-5 years of industry experience (post-Masters or PhD) in a commercial setting, you are poised to hit the ground running. You are adept at independently configuring CFD simulations, interpreting intricate results with insight, and making informed decisions grounded in solid engineering judgment.This RoleIn this position, you will collaborate closely with our Data Scientists, Machine Learning Engineers, and clients to identify and define the engineering challenges at hand.Your key responsibilities will include delivering high-fidelity simulations by:Independently developing complex multi-physics models, from geometry preparation and meshing to simulation and post-processing of intricate real-world phenomena, while integrating experimental data for model validation.Creating robust parametric CAD models (NX or CATIA) along with simulation pipeline automation to facilitate advanced design optimization and Design of Experiments (DoE).

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and Formula One, committed to driving hardware innovation at the speed of software.We are developing an advanced AI-driven simulation software suite tailored for engineering and manufacturing in cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens up unprecedented levels of optimization and automation in design, manufacturing, and operational processes — empowering engineers to redefine what is possible. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We Are Looking ForAs a Senior FEA Engineer (Delivery), you will be a problem-solver and innovator, passionate about developing practical solutions that empower our clients to enhance their engineering decisions. You will possess the ability to understand and apply advanced engineering concepts across various industries, excelling in direct collaboration with customers (often on-site) to construct CAE models integrated into AI tools that are not only functional but widely utilized.Your deep expertise in structural mechanics, materials science, and multi-physics modeling will be complemented by a strong capability to apply fundamental knowledge to real-world engineering challenges. You will be highly proficient in at least one of the following: NASTRAN, ABAQUS, or ANSYS Mechanical, and skilled at automating these tools to create scalable optimization workflows that yield significant results. Familiarity with open-source FEA packages such as CalculiX or FEniCS is a notable advantage. Proficiency in parametric CAD modeling (NX or CATIA) and coding in Python (or a quick ability to learn programming languages) is also beneficial. Experience with explicit dynamics (LS-DYNA, Abaqus/Explicit) for crash simulations is highly regarded. A background in coupled simulations such as thermo-mechanical analysis and fluid-structure interaction modeling is also desirable.With 3-5 years of industry experience (post Master’s or PhD) in a commercial setting, you will be ready to make an immediate impact. You will be confident in independently setting up FEA simulations, interpreting complex results with depth, and making informed decisions grounded in solid engineering judgment.This RoleIn this role, you will collaborate closely with our Data Scientists, Machine Learning Engineers, and clients to understand and define the engineering challenges we aim to address.You will be instrumental in delivering high-fidelity simulations by:Independently constructing complex structural and multi-physics models.

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and Formula One, committed to accelerating hardware innovation at the speed of software.We are developing an AI-powered simulation software suite for engineering and manufacturing in cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unparalleled levels of optimization and automation in design, manufacturing, and operations—empowering engineers to transcend limits. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Data Scientist in the Delivery team, you will be a seasoned problem solver and technical leader who is enthusiastic about crafting practical solutions that empower customers to enhance their engineering decisions. You have a strong grasp of advanced engineering concepts across various industries, can spearhead technical initiatives, and excel in collaborating directly with clients—often working side-by-side with them on-site—to integrate cutting-edge AI models into tools that are both functional and impactful.You have a proven track record of tackling complex problems requiring a solid foundation in data-driven modeling and deep learning techniques, alongside extensive hands-on experience with probabilistic methods and predictive modeling. Your proficiency in Python, along with advanced skills in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, with a demonstrated capability to architect and deploy scalable, production-ready models and data pipelines.With 3-5 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are ready to not only execute tasks but also mentor and lead others. You are genuinely excited about enhancing both your technical expertise and leadership capabilities, naturally assuming ownership of complex data science workflows and guiding teams towards success. You continuously refine the systems and solutions you work on to ensure they are practical, impactful, and aligned with the evolving needs of our customers.This RoleIn this senior position, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to identify and define the engineering and physics challenges we aim to address, while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:Leading the pre-processing and analysis of complex data to prepare it for predictive modeling, establishing best practices...

About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to revolutionizing hardware innovation at a pace akin to software development.We are developing a cutting-edge AI-driven simulation software stack designed for engineering and manufacturing across advanced sectors. By facilitating high-fidelity, multi-physics simulation through AI inference throughout the entire engineering lifecycle, PhysicsX empowers engineers to achieve unprecedented levels of optimization and automation in design, manufacturing, and operations. Our clientele includes pioneering organizations in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RoleAs a Senior Forward Deployed Software Engineer, your primary mission is to tackle our customers' most pressing challenges. You will create and implement applications that leverage our physics AI models to enable clients to innovate faster, more efficiently, and at reduced costs.Working as part of the delivery team, you'll partner directly with customers, data scientists, and machine learning engineers to develop applications that transform advanced engineering practices. We seek an individual who can grasp complex engineering concepts across various industries, deeply understand the challenges engineers face, and construct effective solutions. Who We're Looking ForTechnical Expertise: Given the high complexity of the diverse engineering disciplines we operate within, a proven ability to solve intricate problems is essential. A background in Mechanical Engineering or a related field is advantageous. This role requires proficiency across the full technology stack, with a robust foundation in software engineering, API design, and application deployment in production environments. Proactive Ownership: You will be accountable for generating impactful results for our customers, regardless of the challenges that arise. We are in search of a self-starter who instinctively identifies issues and resolves them comprehensively. You will take full responsibility for project outcomes and will acquire the necessary skills and knowledge to address novel challenges swiftly. Customer-Centric Focus: We develop tools that meet our customers' real needs, not just their desires. Therefore, we require someone who is genuinely customer-focused and can collaborate closely with clients to understand their challenges and create applications that redefine their engineering processes.

About UsPhysicsX is a pioneering deep-tech company with a strong foundation in numerical physics and Formula One, dedicated to revolutionizing hardware innovation at software speed.We are developing an AI-powered simulation software stack designed for engineering and manufacturing across high-tech industries. By harnessing high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX enables unprecedented levels of optimization and automation in design, manufacturing, and operations—empowering engineers to explore new possibilities. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We're SeekingAs a Principal Data Scientist (Algorithm Engineer) in our Delivery team, you will be an accomplished problem solver and technical leader, passionate about crafting practical solutions that empower customers to enhance their engineering decisions. You possess the ability to comprehend complex engineering concepts across diverse industries, spearhead technical initiatives, and collaborate directly with clients, often working alongside them to integrate cutting-edge AI models into functional tools.You have a proven track record of addressing challenging problems that demand strong foundations in data-driven modeling and deep learning techniques, with substantial hands-on experience in probabilistic methods and predictive modeling. Your proficiency in Python, complemented by advanced expertise in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, along with a demonstrated ability to design and deploy scalable, production-grade models and data pipelines.With extensive industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also lead and mentor others. You are enthusiastic about advancing both your technical knowledge and leadership capabilities, naturally taking ownership of complex data science initiatives and guiding teams toward success. You continually enhance the systems and solutions you engage with, ensuring they are practical, impactful, and aligned with the evolving needs of our customers.This RoleIn this senior position, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to identify and define engineering and physics challenges while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and inspired by Formula One, dedicated to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software stack designed for engineering and manufacturing across advanced industries. By facilitating high-fidelity, multi-physics simulation through AI inference throughout the entire engineering lifecycle, PhysicsX unlocks unprecedented levels of optimization and automation in design, manufacturing, and operations, empowering engineers to redefine the limits of possibility. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.The RoleYour primary mission is to assist our customers in overcoming their most pressing challenges. As the Principal Forward Deployed Software Engineer, you will determine how PhysicsX’s Forward Deployed Engineers deliver software solutions that enable our clients to enhance their project outcomes, making them better, faster, and more cost-effective. You will set the benchmark for software engineering practices across our delivery processes and incorporate solutions developed with clients into our core product offerings.We seek a candidate with experience in building teams from the ground up and a demonstrated history of fostering engineering excellence to deliver tangible outcomes. Achieving success in this role necessitates deep expertise in technical project management, a strong sense of ownership regarding results, and the ability to immerse oneself in customer workflows while collaborating with their teams to address complex engineering challenges swiftly.In this role, you will:Oversee the technical delivery plan for multiple projects or work streams, translating business objectives into a clear roadmap with milestones, dependencies, and acceptance criteria.Integrate with customers to ensure successful production deployments and drive user adoption. Analyze workflows, shape tools/integrations, and translate requirements into actionable delivery plans. Lead onboarding, adoption, and change management processes.Nurture engineering talent by expanding the Forward Deployed Software Engineering team in London.Travel to customer locations in North America, Europe, Asia, and Oceania for an average of 3-4 weeks each quarter, collaborating closely with clients to develop solutions on-site.Manage the scope of new projects and work streams with existing customers while contributing to the onboarding of new clients to PhysicsX.

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and the high-speed world of Formula One. Our mission is to revolutionize hardware innovation by achieving the agility of software development.We are developing an advanced AI-driven simulation software suite tailored for engineering and manufacturing across high-tech industries. By leveraging high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unprecedented opportunities for optimization and automation in design, manufacturing, and operational processes—empowering engineers to redefine the limits of what is possible. Our clientele includes industry leaders in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.Who We're SeekingAs a Principal Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical strategist focused on delivering impactful solutions. You possess the ability to comprehend sophisticated engineering principles across diverse industries, spearhead technical projects, and collaborate closely with customers, often working alongside them on-site to integrate cutting-edge AI models into practical and effective tools.You have successfully deployed ML systems end-to-end at scale: designing, constructing, and validating reliable, scalable ML data pipelines. You are proficient in exploring and manipulating 3D point-clouds and mesh data to facilitate geometry-aware modeling. Your expertise includes selecting the most suitable libraries, frameworks, and tools, enabling you to make pragmatic product choices that set the Delivery team up for success. At the intersection of data science and software engineering, you translate R&D findings and project outcomes into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting (not research-focused), you are poised to not only execute but also lead and mentor your peers. You are genuinely enthusiastic about taking ownership of complex projects and guiding teams toward success while continuously enhancing the systems and solutions you work on to ensure they remain practical, impactful, and aligned with our customers' evolving needs.This RoleIn the role of Principal Machine Learning Engineer, you will work collaboratively with our Data Scientists, Simulation Engineers, and customers to identify and articulate the engineering and physics challenges we aim to address. You will iterate with clients and leverage your influence to drive decisions regarding reliable deployments that yield measurable outcomes.Your responsibilities will include:Leading the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) into customer production environments.Effectively communicating results and technical insights to stakeholders, ensuring alignment and understanding.

Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of the autonomous driving revolution, pioneering cutting-edge technologies that span from Level 2 to Level 4 autonomy. As a unique player in the global landscape, WeRide is the only technology firm that possesses driverless permits across China, the UAE, Singapore, and the United States, enabling comprehensive R&D, testing, and operational capabilities in over 30 cities across 9 countries. With a remarkable track record of managing a self-driving fleet for over 1,800 days, WeRide is committed to redefining mobility.WeRide (Singapore) is on the lookout for exceptional Machine Learning Engineers who are eager to tackle some of the most challenging problems in AI and robotics that are reshaping the future of mobility. Join a team of world-class experts and contribute to advancing technologies in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

Job OverviewJoin our innovative team at PatSnap as a Senior Machine Learning Engineer, where you will be at the forefront of developing cutting-edge knowledge extraction engines for the field of Materials Science. This role goes beyond basic text analysis, enabling you to tackle complex challenges related to patents and academic literature, including advanced table reconstruction, experimental workflow synthesis, chemical property mapping, and comprehensive multimodal chart analysis. Utilizing techniques such as Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), and post-training methodologies, you will transform extensive unstructured scientific documents into valuable, structured databases for R&D.

Join our innovative team at Xcellink as a Machine Learning Engineer. In this role, you will be pivotal in enhancing and scaling our cutting-edge AI platform, developing robust machine learning pipelines, and facilitating the deployment of AI workloads.Key ResponsibilitiesDesign, construct, and maintain scalable machine learning infrastructure utilizing tools such as Kubeflow, MLflow, and RunAI.Automate the configuration and management of machine learning environments and pipelines to guarantee consistency and reliability.Execute automated testing and validation of AI/ML models prior to deployment.Monitor the performance and health of models, employing tools for logging, monitoring, and alerting.Develop strategies for model retraining and updates based on performance metrics.Collaborate with data scientists, engineers, and stakeholders to convert requirements into scalable ML solutions.Actively engage in agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog grooming.

Join our dynamic team at bjakcareer as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your extensive experience in machine learning to develop innovative solutions and enhance our product offerings. You will collaborate with cross-functional teams, driving the implementation of advanced algorithms and ensuring the optimization of our machine learning processes.

Join our innovative Perception team at Motional and collaborate with top-tier ML engineers and research scientists dedicated to revolutionizing self-driving technology and fostering a positive social impact. Our focus is on developing cutting-edge technology to perceive dynamic environments and effectively track and classify objects surrounding our robo-taxis. We seek engineers who are enthusiastic about Level 4 autonomous driving technology, eager to tackle intellectual challenges, and motivated to grow their careers in a rapidly expanding company.Key Responsibilities:Develop and implement advanced perception algorithms for object detection, tracking, classification, and segmentation utilizing data from cameras, lidar, and radar.Leverage technology solutions to drive impactful business outcomes.Design and implement sensor fusion algorithms to create a robust and precise perception system.Optimize perception algorithms for real-time performance on embedded hardware.Collaborate with cross-functional teams to integrate perception systems into comprehensive autonomous systems.Stay updated on the latest advancements in machine learning and computer vision, applying them to practical challenges.Productionize and deploy solutions across autonomous vehicle fleets.Extract valuable insights from extensive datasets from various sources.Mentor and guide junior engineers within the team.

Join Grab as a Lead Machine Learning Engineer and play a pivotal role in shaping our fulfilment strategies through advanced machine learning solutions. You will be at the forefront of developing innovative algorithms and models that optimize our logistics and operational processes, significantly enhancing customer experiences.

Join bjakcareer as a Staff Machine Learning Engineer and be a pivotal part of our innovative team, driving advancements in machine learning technologies that impact the future of our industry. In this role, you will leverage your expertise to design, develop, and implement state-of-the-art machine learning models.Your contributions will help streamline processes and enhance product offerings, uncovering insights that drive business decisions. We are looking for a candidate who is passionate about technology, data, and solving complex problems.

We are seeking a highly skilled and innovative Senior Machine Learning Engineer to join our Compliance team at OKX. In this role, you will leverage advanced machine learning techniques to enhance our compliance processes and ensure regulatory adherence. You will collaborate with cross-functional teams to develop and implement AI-driven solutions that mitigate risks and improve operational efficiency.

About Thunes Thunes acts as the Smart Superhighway for global money transfers. Our proprietary Direct Global Network empowers Members to execute real-time payments across more than 130 countries and 80 currencies. Our network connects directly with over 7 billion mobile wallets and bank accounts worldwide, utilizing more than 350 diverse payment methods, including GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay, and many others. Our Members include leading players in the gig economy such as Uber and Deliveroo, super-apps like Grab and WeChat, as well as MTOs, fintech firms, PSPs, and banks. The Direct Global Network stands out due to its extensive reach, our in-house Smart Treasury Management Platform, and Fortress Compliance Infrastructure, which ensures that Members enjoy unrivaled speed, control, visibility, protection, and cost efficiency for real-time global payments. Headquartered in Singapore, Thunes operates in 12 locations worldwide, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo, and Shanghai. For further details, visit: https://www.thunes.com/ Role Context We seek a highly motivated, detail-oriented, and technically proficient engineer eager to bridge the gap between Data Science, AI Engineering, and Production Infrastructure. This role requires a startup mindset combined with the discipline of a platform architect, ensuring our "Golden Path" to production is automated, secure, and cost-efficient. The MLOps function manages the infrastructure that connects our core working systems with our AI technology stack. You will design solutions, automated pipelines, and monitoring stacks that allow our Data Scientists and AI Engineers to deploy rapidly without issues.

Join Grab, a leading technology company in Southeast Asia, as a Senior Principal Machine Learning Engineer in our Fulfilment team. In this pivotal role, you will be responsible for designing and implementing advanced machine learning systems that enhance our operational efficiencies and customer satisfaction. Collaborate with cross-functional teams to drive innovation and deliver impactful solutions that shape the future of our services.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our innovative blend of proprietary infrastructure and cutting-edge software empowers over 200,000 businesses globally — including renowned names like Brex, Rippling, Navan, Qantas, SHEIN, and many more — providing fully integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance at an international scale.Founded in Melbourne, we proudly boast a team of more than 2,000 of the brightest minds in technology across 26 offices worldwide. With a valuation of US$8 billion and the support of prominent investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of developing the future global payments and financial platform. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek out successful innovators who possess a founder-like spirit, eager to make a significant impact, accelerate their learning, and take true ownership of their work. You bring a wealth of role-related expertise and sharp, analytical thinking, inspired by our mission and operating principles. You operate with speed and sound judgment, driven by curiosity and grounded in first principles, balancing agility with thoroughness.You are humble and collaborative, adept at transforming zero-to-one ideas into tangible products, and you possess a knack for executing projects from start to finish. Leveraging AI, you work smarter and resolve challenges more efficiently. Here, you’ll engage with intricate, high-impact problems alongside exceptional colleagues and advance your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the Team:Joining our newly formed AI team means you're at the forefront of developing advanced AI technologies and platforms that revolutionize the support and automation solutions we offer to both our internal teams and external clients. Our goal is to harness every bit of knowledge within Airwallex to empower diverse use cases across our organization. This team plays a pivotal role in driving innovation and setting benchmarks for future advancements in this thrilling new domain.Role & Project Scope:We are on the lookout for a skilled and enthusiastic Machine Learning Platform Engineer to join our team and develop the next generation of our machine learning infrastructure. You will spearhead the design, implementation, and maintenance of the core MLOps platform that enables our Data Science and ML Engineering teams to rapidly develop and deploy machine learning models.