Applied AI Engineer - Forward Deployed Machine Learning | Singapore

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and elevate creativity and learning experiences. Our innovative technology integrates seamlessly into the fabric of daily work life.We are committed to democratizing AI through the development of high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to enterprise needs, whether deployed on-premises or in cloud environments, including le Chat, our AI assistant designed for both personal and professional use.As a vibrant and collaborative team, we are driven by our passion for AI and its potential to effect societal change. Our diverse workforce thrives in competitive settings and is dedicated to spearheading innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we foster a creative, low-ego, and team-oriented culture.Join us and play a pivotal role in a pioneering company that is actively shaping the future of AI. Together, we can create a significant impact. Explore more about our culture at https://mistral.ai/careers.Position OverviewMistral AI is on the lookout for an Applied AI Engineer to drive the integration of our products with customers and collaborate closely to tackle intricate technical challenges.As a crucial member of our Applied AI Engineering team, you will facilitate the successful deployment of Mistral AI solutions. You will partner with clients from the pre-sales phase through post-implementation, ensuring that our offerings not only meet but exceed client expectations.In this role, you’ll manage daily interactions with multiple stakeholders, including CEOs, CTOs, data scientists, and software engineers, serving as a vital resource in translating our research into practical production settings.Key Responsibilities• Onboard clients on our products and APIs, guiding them in prompts, evaluations, and fine-tuning to ensure optimal integration with both back-end and front-end interfaces.• Collaborate on cutting-edge GenAI applications, spanning consumer products to industrial implementations, driving significant technological transformations with our clients.• Lead the deployment of production use cases that deliver considerable business impact across diverse industries.• Work alongside our researchers, AI engineers, and product teams on complex customer projects that involve intricate fine-tuning and state-of-the-art LLM applications, contributing to our open-source codebases.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, enhance creativity, and simplify learning processes. Our innovative technology is crafted for seamless integration into everyday workflows.We aim to democratize AI through our high-performance, open-source models, products, and solutions. Our advanced AI platform caters to enterprise needs, whether deployed on-premises or in cloud environments. Our product offerings include 'le Chat,' an AI assistant designed for personal and professional life.We pride ourselves on being a collaborative and dynamic team that shares a passion for AI and its potential to transform society.Our diverse workforce thrives in competitive settings and is dedicated to fostering innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we maintain a creative, low-ego, and team-oriented culture.Join us to play a pivotal role in a forward-thinking company that is shaping the future of AI. Together, we can create significant impact. Learn more about our culture at https://mistral.ai/careers.About The RoleMistral AI is on the lookout for a talented Applied AI Engineer to facilitate the adoption of our products among customers while collaboratively addressing complex technical challenges.As a key member of our Applied AI Engineering team, you will drive the successful deployment of Mistral AI products, crafting complex enterprise use cases. You will engage closely with clients from the pre-sale phase through post-implementation, ensuring our solutions not only meet but exceed client expectations.In this role, you will manage relationships with multiple stakeholders, including CEOs, CTOs, data scientists, and software engineers, serving as a vital resource in translating our research into real-world production settings.

About the AI Forward Deployed Engineering Team The AI FDE team at Databricks in Singapore focuses on delivering professional services that help clients build and launch advanced AI applications. This group works closely with engineering, product management, and developer relations to move strategic projects forward and support internal experts. Team members connect directly with clients and colleagues, working with recent advances in Generative AI, LLMOps, and machine learning. What You Will Do Design and build Generative AI solutions, applying methods from Mosaic AI research to solve real client problems. Lead the deployment of Generative AI applications for both customer-facing and internal use cases. Serve as a trusted technical advisor to clients in various industries. Share expertise and present findings at major conferences such as the Data + AI Summit. Collaborate with product and engineering teams to influence product priorities and roadmaps.

About ChalkChalk is revolutionizing the data platform landscape, paving the way for the next generation of machine learning applications. We dismantle the complexities, latency, and scalability challenges that have historically limited ML capabilities. Our platform combines the blazing performance of Rust with user-friendly tools that developers adore. Renowned companies trust Chalk for a myriad of applications—from thwarting fraudulent credit card transactions and verifying identities to optimizing clean energy production. Recently, we secured a $50 million Series A funding round, spearheaded by Felicis.About the RoleAs a talented forward-deployed engineer, you will craft tailored technical solutions and collaborate with machine learning teams to enhance Chalk’s proprietary infrastructure. Your role will involve engaging directly with Chalk's customers to develop efficient feature pipelines tailored to specific challenges in healthcare, finance, and recommendation systems. This is an incredible opportunity to work in-person as an early team member and make a substantial impact at a rapidly growing startup.What You Will DoDevelop and implement Chalk technology solutions for our clients, ensuring seamless integration into various environments.Collaborate closely with Engineering and Sales teams.Serve as the primary technical contact during pre-sales and post-sales processes (including customer onboarding and ongoing support).Advise customers on new product offerings as their requirements evolve.Participate in the recruitment and development of the Engineering team.What We’re Looking ForStrong technical background with experience in software development or machine learning model creation.A minimum of 2 years of professional experience in backend software engineering.Proficiency in Python and SQL.Ability to effectively collaborate with both technical and non-technical team members.Exceptional written and verbal communication skills, along with strong problem-solving and analytical abilities.

About the RoleAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in deploying and integrating our cutting-edge autonomous systems in real-world scenarios. This position combines engineering expertise with critical problem-solving skills. You will collaborate directly with clients and internal teams to optimize operational success, swiftly integrate field feedback to enhance system reliability and performance, and promote adoption to ensure our solutions become essential from the start. If you excel in dynamic, high-impact settings and are passionate about contributing to the future of autonomy, this opportunity is your chance to make a significant impact.

About ChalkChalk is at the forefront of innovation in machine learning, developing a cutting-edge data platform that dismantles the traditional barriers of complexity, latency, and scalability. Our platform seamlessly integrates Rust-speed performance with user-friendly tools that developers appreciate. Top-tier companies rely on Chalk for a variety of applications, from combating fraudulent credit card transactions to identity verification and optimizing renewable energy efficiency. Recently, we secured a $50 million Series A funding, led by Felicis.About the RoleAs a highly skilled software engineer, you will create tailored technical solutions and collaborate with machine learning teams to enhance Chalk’s proprietary infrastructure. Your role will involve working directly with our customers to develop efficient feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This position offers a unique opportunity to engage closely with clients, gather requirements, and engineer feature pipelines that facilitate use cases such as cancer detection, fraud prevention, and product recommendations. Join us in person as an early team member and significantly impact our high-growth start-up.Key ResponsibilitiesDevelop and implement Chalk technology for clients, familiarizing yourself with our infrastructure to ensure seamless integration across various environments.Collaborate closely with Engineering and Sales teams to drive customer success.Serve as the primary technical contact for clients during both pre-sales and post-sales phases, assisting with onboarding and ongoing support.Advise clients on new product offerings as their business needs evolve.Participate in interviewing and expanding the Engineering team.QualificationsStrong technical background with experience in software development or building machine learning models.Minimum of 2 years of professional experience in backend software engineering.Proficiency in Python and SQL.Ability to work effectively within teams consisting of both technical and non-technical members.Exceptional written and verbal communication skills, along with strong problem-solving abilities and storytelling techniques.

As a Forward Deployed Engineer (FDE) at Databricks, you will work closely with our most strategic clients to architect and implement customized full-stack applications and solutions leveraging the Databricks Data Intelligence Platform along with other prevalent software frameworks. You will take charge of the system architecture, influence design decisions, and execute comprehensive systems that encompass data engineering, artificial intelligence, and application development. This role is hands-on and customer-facing, perfectly suited for software engineers, developers, and innovators who excel at the crossroads of technology and business impact. The ideal candidate will blend technical prowess with flexibility, an inquisitive mindset, and a fervor for tackling intricate challenges that yield quantifiable results. Your Impact: Architecture Ownership: Lead architectural and design decisions, ensuring solutions are secure, scalable, and meet customer requirements while adhering to Databricks best practices. Application Engineering: Design and develop applications that integrate backend, frontend, and other components, transforming data and AI into actionable insights for enterprise clients using the Databricks platform. Solution Delivery: Deliver robust production systems that cover data ingestion and transformation, machine learning/AI model integration, and user-facing applications. Customer Engagement: Collaborate closely with customer teams, interacting with stakeholders from technical staff to executives to fully grasp challenges and deliver impactful solutions. Cross-Functional Collaboration: Work alongside Sales, Product, and Field Engineering to ensure a smooth customer experience from pre-sales to post-deployment. Scalability and Reusable Assets: Contribute to the development of accelerators, frameworks, and best practices that enhance impact across multiple accounts and shape the Databricks product roadmap.

Role overview The Forward Deployed Engineer position at OpenAI in Singapore centers on collaborating directly with clients to implement advanced AI solutions tailored to their requirements. This role involves translating client needs into practical applications using OpenAI technologies. Working closely with a variety of stakeholders, the Forward Deployed Engineer helps guide the deployment process and addresses challenges as they arise. The focus is on ensuring that each solution is integrated smoothly and delivers meaningful results for clients. Key responsibilities Work hands-on with clients to apply OpenAI technologies to real-world problems Collaborate with internal and external stakeholders throughout the deployment process Support effective and efficient integration of AI solutions for client needs Location This role is based in Singapore.

Join OpenAI as a Recruiter for our Forward Deployed Engineering team, where you will play a crucial role in sourcing top-tier engineering talent. Your mission will be to identify candidates who are not only technically proficient but also align with our vision of ensuring that artificial intelligence benefits humanity. You will work closely with hiring managers to understand team needs, craft compelling job descriptions, and promote our unique company culture.

About Our TeamJoin OpenAI’s innovative Forward Deployed Engineering team, where we collaborate closely with our clients to transform cutting-edge research into operational systems. Our team operates at the dynamic intersection of customer delivery and core platform development, ensuring impactful outcomes for our partners.About the RoleWe are seeking dedicated and customer-oriented software engineers to develop bespoke software solutions that harness OpenAI’s APIs to address tangible client challenges. As a Forward Deployed Software Engineer (FDSWE), you will engage with clients and fellow OpenAI engineers to architect and implement scalable solutions to their most pressing issues. You will create abstractions that facilitate problem-solving and enhance our delivery speed and quality across all engagements. This role involves close collaboration with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers, ensuring a unified approach to client accounts. Additionally, you will liaise with our Research and Applied Product and Engineering teams to relay valuable client feedback, enriching our development process.This position is based in Singapore, utilizing a hybrid work model with 3 days in the office each week. We also provide relocation assistance for new hires, and expect approximately 50% travel.Key Responsibilities:Engage deeply with key clients to comprehend their business challenges and technical needs.Design, architect, and develop comprehensive full-stack solutions using an experimental and iterative approach.Draft detailed scopes of work and project timelines for both proof-of-concept prototypes and full-scale deployments.Actively collaborate with clients' technical teams, serving as a technical expert and trusted advisor to drive project completion on their infrastructure.Work in conjunction with Product, Research, and Applied teams to guarantee seamless client experiences, successful project outcomes, and actionable product feedback.Contribute to internal knowledge repositories, documenting best practices and insights gathered from customer interactions to enhance the Forward Deployed Engineering function.Ideal Candidate Profile:A minimum of 7 years of professional full-stack engineering experience (excluding internships) in relevant roles at tech and product-centric companies. Experience engaging directly with customers is highly valuable.Proficiency in programming languages and frameworks commonly used in full-stack development.Demonstrated ability in designing scalable and efficient software solutions.Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.Excellent communication skills, both verbal and written, with the capacity to translate complex technical concepts into easily understandable terms for clients.A passion for technology and a commitment to professional growth.

About UsAt Addepar, we are a leading global data and AI platform that empowers investment professionals to transform intricate financial data into actionable insights. Our platform seamlessly integrates portfolio, market, and client data, providing a comprehensive portfolio view that enhances investment and client workflows through AI-powered insights. With over 1,400 firms across nearly 60 countries managing close to $9 trillion in assets using Addepar, our open platform collaborates with nearly 650 software, data, and consulting partners to facilitate end-to-end investment operations for firms of all sizes and complexities. Addepar serves clients globally with offices in major cities including New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo.The OpportunityWe are seeking a pioneering Forward Deployed Engineer (FDE) to join our team in Singapore. In this vital role, you will significantly influence Addepar’s expansion in the region.As a Forward Deployed Engineer, you will collaborate directly with key technical and strategic stakeholders at Addepar’s largest enterprise clients. Your responsibilities will include crafting custom data integrations and enhancing platform functionalities, all while working independently and taking ownership to create substantial impacts for our clients.Unlike traditional service roles, FDEs at Addepar are integral to the platform, fostering collaborative partnerships with clients and focusing on outcomes instead of billable hours. You will be part of a global FDE team that continuously assesses opportunities and priorities to ensure that we are addressing the most pivotal and impactful challenges for our clients.All applicants must possess legal authorization to work in Singapore from their first day of employment.

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.

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.

Who are we?At Cohere, our vision is to elevate intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling the creation of extraordinary AI-driven experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment is crucial to fostering the broad adoption of AI technologies.We take pride in our craftsmanship. Every team member plays a vital role in enhancing our models' capabilities and the value they provide to our clients. We thrive in a fast-paced environment, focusing on delivering exceptional outcomes for our customers.Cohere comprises a diverse group of researchers, engineers, designers, and other professionals who are deeply passionate about their fields. Each member is among the best globally, and we believe that a variety of perspectives is essential for developing outstanding products.Join us in our quest to shape the future!Why this role?As a rapidly expanding startup, we are focused on creating production-grade AI agents for enterprise clients at scale. We seek talented Applied AI Engineers who can lead the design, development, and deployment of agentic workflows powered by Large Language Models (LLMs). This role involves transforming initial prototypes into fully operational AI agents that deliver tangible business benefits in enterprise settings.In this position, you will collaborate with clients to tackle real-world business challenges, frequently developing innovative agent workflows that seamlessly integrate LLMs with various tools, APIs, and data sources. While we value speed and agility, our standards are enterprise-grade: agents must be reliable, observable, safe, and auditable from the outset.You’ll work closely with customers, product teams, and platform engineers to influence how agentic systems are constructed, assessed, and implemented on a large scale.What You’ll DoCollaborate with enterprise clients and internal teams to transform business processes into scalable, production-ready agentic AI systems.Design and develop LLM-based agents that reason, plan, and execute tasks across various tools and data sources with enterprise-level reliability.Navigate rapid development cycles while meeting enterprise standards, evolving prototypes into stable, reusable solutions.Establish and implement evaluation and quality metrics to assess success, identify failures, and monitor regressions.Analyze real-world agent behaviors, systematically refining prompts, workflows, tools, and safeguards.Contribute to the continual improvement of our agentic systems through innovative methodologies and collaborative feedback.

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.

Why You Should Join Us: At SonarSource, we are a team of passionate and innovative professionals dedicated to empowering organizations to develop responsible, secure, and high-quality code efficiently and effectively. Our mission is to address the root causes of coding issues—specifically at the source code level—ensuring that our solutions provide real, long-term improvements. With a vibrant culture that spans across the globe, we have office hubs in the USA, Switzerland, the UK, Singapore, and Germany. We believe in fostering a work environment where team members are excited to contribute to a product they are proud of, collaborating with motivated peers. With strong ties to the open-source community, our primary goal is to offer solutions that promote Clean Code practices. Your Impact: In this role, you will be part of our research team focused on automating software evolution through comprehensive analysis, verification, and test generation. You will engage in pioneering projects that leverage AI and machine learning to enhance software engineering practices. This position presents a unique opportunity to conduct innovative research, create advanced algorithms, and contribute to developing software tools that improve system performance, reliability, and adaptability.

About Mistral AI At Mistral AI, we harness the transformative potential of artificial intelligence to streamline workflows, conserve time, and foster creativity and learning. Our advanced technology is crafted to integrate effortlessly into everyday operations. We are committed to democratizing AI with high-performance, cutting-edge, open-source models, products, and solutions. Our all-encompassing AI platform caters to enterprise requirements, whether hosted on-site or in the cloud. Among our innovative offerings is le Chat, your AI assistant for work and life. Our team is dynamic and collaborative, driven by a shared passion for AI and its ability to reshape society. Our diverse workforce thrives in competitive settings and is focused on fostering innovation. Our teams span across France, the USA, the UK, Germany, and Singapore. We value creativity, humility, and a team-oriented spirit. Join us in shaping the future of AI. Together, we can make a significant impact. Discover more about our culture at https://mistral.ai/careers.

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.

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.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and foster innovation in learning and creativity. Our cutting-edge technology is crafted for seamless integration into everyday workflows.We democratize AI through high-performance, optimized, open-source models and solutions tailored for enterprises, whether on-premises or in cloud settings. Our suite includes 'le Chat', the AI assistant designed to enhance both personal and professional experiences.We are a vibrant, collaborative team deeply passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in dynamic environments and is dedicated to innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we pride ourselves on our creativity, humility, and team spirit.Join us in shaping the future of AI and making a significant impact together. Discover more about our culture at https://mistral.ai/careers.Position OverviewMistral AI is on the lookout for talented Applied Scientists and Research Engineers to spearhead innovative research initiatives and collaborate with clients on challenging projects. You will have the opportunity to develop state-of-the-art models across multiple modalities including text, image, and speech. By pioneering new research methodologies, you will deploy these models in a variety of real-world applications. Collaborating cross-functionally with both internal and external teams of scientists, engineers, and product specialists, you will deliver impactful AI solutions that drive significant advancements.Key Responsibilities• Execute pre-training, post-training, and deployment of cutting-edge models on large-scale clusters featuring thousands of GPUs, maintaining composure during technical challenges such as OOM errors.• Curate and generate data for training, overseeing evaluations to ensure model performance exceeds expectations.• Create and enhance tools and frameworks that support data generation, model training, evaluation, and deployment processes.• Collaborate with interdisciplinary teams to address complex use cases utilizing agents and RAG pipelines.• Oversee research projects and maintain effective communication with client research teams.Candidate Profile• Proficiency in English with exceptional communication skills, capable of articulating complex technical concepts to diverse audiences.• Strong expertise in either PyTorch or JAX.• Comfortable contributing to large codebases and participating in collaborative coding efforts.