Machine Learning Solutions Architect

Join phData, a pioneering force in the modern data landscape. We collaborate with leading cloud data platforms including Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to provide innovative services and solutions. Our mission is to assist global enterprises in tackling their most challenging data obstacles.As a remote-first global organization, phData is home to talented individuals across the United States, Latin America, and India. We embrace the diverse cultures of our team while fostering a community that values technological curiosity, accountability, and trust. Despite our rapid growth, we maintain a vibrant and relaxed work atmosphere, empowering top performers to achieve outstanding results.6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)Fivetran, dbt, Atlation, and AWS Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as an award-winning workplace in the US, India, and LATAMAs a Machine Learning Solutions Architect, you will be responsible for bridging the gap between data science and engineering. You will oversee the infrastructure required for deploying machine learning models, ensuring that they are built effectively using customer data and seamlessly integrated into production environments. Your role will involve providing insightful recommendations on the appropriate technologies and solutions tailored to specific use cases, effectively guiding teams in their machine learning initiatives.

Become a part of phData, a pioneering company at the forefront of the modern data landscape. We collaborate with leading cloud data platforms including Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to provide state-of-the-art services and solutions. Our mission is to empower global enterprises to tackle their most complex data challenges.As a remote-first organization, phData boasts a diverse team across the United States, Latin America, and India. We celebrate the unique cultures of our employees and cultivate an environment of technological curiosity, accountability, and trust. Despite our rapid growth, we maintain a relaxed and engaging work atmosphere, hiring top talent and providing the freedom to achieve outstanding results.6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)Fivetran, dbt, Atlation, and AWS Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as an award-winning workplace in the US, India, and LATAM.Machine Learning Solutions Architect - USThe Machine Learning Engineer plays a vital role in our organization, acting as a multifaceted expert in machine learning. This professional is responsible for overseeing the infrastructure and deployment strategies, ensuring that data science models are developed effectively using customer data, and successfully transitioning them to production environments, along with all related tasks.

Enhancing human life through every conversation.We invite you to join our innovative team at Symbl.ai, where we are at the forefront of Conversation AI technology. As a Machine Learning Solutions Architect, you will be instrumental in architecting and implementing advanced machine learning solutions for our premier Conversation AI platform and the Nebula LLM product. Collaborate with diverse teams to build scalable and efficient ML systems that tackle complex business challenges.Role Highlights:As a key player in our organization, you will lead the design and deployment of state-of-the-art machine learning solutions in production settings. Engage in exciting projects that merge ML, Deep Learning, NLP, and Conversational AI, fostering innovation and delivering significant value to our clients.Your Responsibilities:Work alongside product management and engineering to translate business needs into scalable ML architectures.Design comprehensive ML pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment.Implement cutting-edge machine learning algorithms and models to meet specific use cases in Conversation AI and Nebula projects.Lead technical discussions, providing expertise on ML system design best practices, ensuring systems are scalable, reliable, and maintainable.Collaborate with data engineers to optimize data pipelines and infrastructure for effective model training and inference.Stay abreast of the latest machine learning advancements, integrating new techniques and frameworks into our solutions.

Become a part of phData, a pioneering force in the modern data landscape. We collaborate with leading cloud data platforms such as Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to provide innovative services and solutions. Our mission is to empower global enterprises to tackle their most significant data challenges.As a remote-first organization, phData embraces a global workforce with team members in the United States, Latin America, and India. We value the unique cultures of our employees and nurture a community characterized by technological curiosity, ownership, and trust. Despite our rapid growth, we maintain a casual yet dynamic work atmosphere, hiring top talent and granting the autonomy to achieve remarkable results.6x Snowflake Partner of the Year (2020-2025)Fivetran, dbt, Atlation, and AWS Partner of the YearLeading Partner in Snowflake Advanced CertificationsOver 600 Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as an award-winning workplace in the United States, India, and LATAMAs a Principal Solutions Architect, you will be pivotal in enhancing delivery excellence and ensuring customer success. This role encompasses providing high-quality AI/ML solutions while fostering account growth and strategic client engagement. We are committed to hiring not just exceptional engineers, but also insightful consultants who prioritize customer needs. Your capacity to blend technical acumen with strategic vision and relationship-building will be crucial in elevating our client engagements.

Join phData, a pioneering force in the modern data landscape. We collaborate with leading cloud data platforms such as Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to provide innovative services and solutions. Our mission is to empower global enterprises to tackle their most pressing data challenges.As a remote-first global organization, phData boasts a diverse team across the United States, Latin America, and India. We value the unique culture of each team member, fostering a community rooted in technological curiosity, accountability, and trust. Despite our rapid growth, we maintain an engaging and dynamic work environment, hiring top talent and granting you the freedom to achieve impactful results.6x Snowflake Partner of the Year (2020-2025)Fivetran, dbt, Atlation, and AWS Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc.)Recognized as a leading workplace in the US, India, and LATAM.Machine Learning Solutions Architect - We seek a candidate located in or near Omaha, Nebraska, who can provide on-site client support approximately two weeks each month.As a Machine Learning Engineer, you will be a versatile problem solver, equipped with the necessary tools to bring data science models to fruition. You will oversee the infrastructure and deployment plans, ensuring that data science models are successfully operationalized.

Tiger Analytics, a leading advanced analytics consulting firm, is in search of a highly skilled Principal Data Scientist to join our dynamic team. We pride ourselves on our deep expertise in Machine Learning, Data Science, and AI, serving as a trusted analytics partner to numerous Fortune 500 companies. Our commitment to delivering business value through data has earned us recognition from prestigious market research firms like Forrester and Gartner.As we expand our global analytics consulting team, we seek exceptional talent. In this role, you will:Design and implement end-to-end machine learning solutions across various business sectors, demonstrating over 10 years of experience in data science, machine learning, and MLOps.Act in a strategic capacity while collaborating closely with data scientists, engineers, product teams, and business stakeholders to create robust and scalable architectures aligned with business objectives.Leverage your analytical skills to engage with cross-functional teams and business partners, driving strategies that maximize business value and effectively communicate outcomes.

OverviewWe are looking for a highly skilled Principal Solutions Architect to spearhead the comprehensive design, sizing, and deployment of infrastructure aligned with NVIDIA's AI Factory. In this technical and customer-centric role, you will convert intricate AI and machine learning workload specifications into robust, engineered infrastructure solutions that encompass colocation facilities, GPU compute, high-performance networking, parallel storage, and the complete NVIDIA AI software ecosystem.Your role will be that of a trusted technical advisor to enterprise and hyperscale clients, collaborating closely with sales, product, and engineering teams to secure and execute transformative AI infrastructure initiatives. Your insights will significantly influence how organizations construct and manage production AI Factories capable of training cutting-edge models, managing extensive inference fleets, and accelerating data science workflows on a large scale.Your ImpactSolution Design & ArchitectureFacilitate discovery workshops to gather AI/ML workload requirements, including model training scale, inference SLAs, data pipeline throughput, and multi-tenancy needs.Architect comprehensive AI Factory solutions in accordance with NVIDIA reference architectures, integrating colocation, GPU compute, networking, storage, and software components.Create detailed Bills of Materials (BOMs), rack elevation diagrams, network topology diagrams, and power/cooling budgets for client proposals.Define GPU cluster architectures utilizing NVIDIA DGX, HGX, and MGX systems with B200, B300, and GB300 Blackwell SXM and NVLink-Switch configurations.Design RTX PRO 6000 Blackwell Server Edition deployments tailored for inference-optimized and enterprise AI workloads.Conduct workload sizing and TCO/ROI modeling to substantiate infrastructure dimensions for training, fine-tuning, and inference at scale.Colocation & Facility PlanningOutline colocation requirements, including critical power load (MW-scale), UPS and generator configurations, and PUE targets.Design high-density GPU deployments using air-cooled, direct liquid cooling (DLC), and rear-door heat exchanger setups.Specify meet-me room (MMR) and cross-connect requirements; detail carrier-neutral telecom diversity strategies.Engage with colocation providers and data center operators to validate...

Waymo is a leader in autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo is committed to enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, underpins our fully autonomous ride-hailing service and can be adapted for various vehicle configurations and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are at the forefront of transforming transportation across 15+ U.S. states.Our Compute Team plays a pivotal role in this mission, delivering the advanced compute platform that enables our fully autonomous vehicles to operate seamlessly. We focus on architecting and developing high-performance custom silicon and system-level compute architectures that optimize performance, power efficiency, and latency. By collaborating with various teams, we ensure our hardware and software are designed and fine-tuned for peak performance. We are a multidisciplinary group seeking innovative and talented individuals to contribute to one of the industry’s highest-performing automotive compute platforms.

CD Projekt Red seeks a Machine Learning & Game Technology Architect to drive innovation in gaming. This position focuses on designing and building advanced solutions that use machine learning and modern game development tools to improve gameplay. The role is open to candidates in multiple locations. Key Responsibilities Design and implement systems that apply machine learning to enhance player experiences. Collaborate with multidisciplinary teams to create applications and tools for next-generation games. Investigate and integrate new technologies to broaden the possibilities within games. Role Focus This architect role centers on pushing the boundaries of what games can do by combining technical expertise in machine learning with a deep understanding of game development. The position involves both hands-on system design and close teamwork across departments.

About UsPathway is revolutionizing the field of artificial intelligence by introducing the world’s first post-transformer model that emulates human cognition.Our innovative architecture, known as the Breakthrough Data Handling (BDH), surpasses traditional Transformer models, granting enterprises unprecedented insight into model operations. By combining our foundational model with the industry’s fastest data processing engine, Pathway empowers organizations to transcend gradual enhancements, moving toward genuinely contextualized, experience-driven intelligence. Esteemed clients including NATO, La Poste, and Formula 1 racing teams trust our solutions.Founded by complexity scientist Zuzanna Stamirowska, Pathway boasts a team of AI visionaries, including CTO Jan Chorowski, a pioneer in applying Attention mechanisms to speech and a collaborator of Nobel laureate Geoffrey Hinton at Google Brain, alongside CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Our company is backed by prominent investors and advisors, such as TQ Ventures and Lukasz Kaiser, co-author of the Transformer architecture (“the T” in ChatGPT) and a key contributor to OpenAI’s reasoning models. Pathway’s headquarters are located in Palo Alto, California.The OpportunityWe are on the lookout for our inaugural group of AI Solutions Architects, each possessing a robust history of specifying and deploying machine learning and AI models within customer environments. These roles are client-facing and pivotal to our success.As a Solutions Architect at Pathway, you will play a crucial role in deploying our revolutionary BDH technology within strategic enterprises. You will collaborate closely with our most influential design partners—carefully selected global organizations at the forefront of AI innovation—to co-create applications that are ready for production.Working alongside Pathway’s go-to-market team and research engineers, you will translate BDH’s core capabilities—continuous learning, efficiency, and interpretability—into scalable reference architectures for our diverse clientele. This position will require cross-functional collaboration with Sales, Product, R&D, and Engineering to ensure technical success, customer adoption, and rapid feedback for our product roadmap.Your ResponsibilitiesConceive, define, and develop pre-sales technical solutions/reference architectures for deploying BDH within enterprise customer segments.Engage with our engineers to implement BDH directly in customer environments, showcasing measurable advancements over static models.Collaborate with hyperscaler partners to synchronize BDH deployments with cloud-native infrastructure and security protocols.Generate solutions and content to expedite the go-to-market strategy.Lead technical discovery workshops with CTOs and heads of AI/Innovation in partnership with the go-to-market team.

At Uncountable, we are dedicated to revolutionizing the innovation landscape in physical product development. We provide advanced AI tools designed to empower research and development teams across a variety of sectors. Our platform seamlessly integrates intuitive data management with sophisticated machine learning models, enabling accelerated and intelligent experimentation in materials, chemicals, food, and beyond.We are seeking talented ML Solution Consultants/Data Scientists to join our expanding global team. In this pivotal role, you will collaborate directly with leading R&D organizations to implement Uncountable’s AI capabilities—transforming product development processes and expediting the journey of innovation to market.Key ResponsibilitiesCustomer Engagement: Work intimately with clients to comprehend their scientific challenges and data frameworks, ensuring smooth onboarding and optimal data organization.Expert Technical Support: Serve as a specialist in statistical modeling and experimental design, guiding clients in crafting experiments that maximize the utility of our platform.Cross-Departmental Collaboration: Partner with Product and Engineering teams to inform product strategy based on client feedback and practical usage insights.

At Uncountable, our mission is to revolutionize the innovation landscape in physical product development through advanced AI solutions. We provide R&D teams with state-of-the-art tools that enhance experimentation across various sectors including materials, chemicals, and food science. Our platform uniquely integrates intuitive data management with sophisticated machine learning algorithms, facilitating smarter and quicker experimentation.We are in search of outstanding Machine Learning Solution Consultants/Data Scientists to become integral members of our expanding global team. In this pivotal role, you will collaborate directly with leading R&D organizations to implement Uncountable’s AI capabilities, fundamentally changing the product development process and expediting the market introduction of innovations.Key ResponsibilitiesClient Engagement: Work closely with clients to assess their scientific challenges and data structures, ensuring a smooth onboarding process and optimal data utilization.Expert Consultation: Serve as a subject-matter expert in statistical modeling and experimental design, guiding clients to maximize the value derived from our platform.Cross-Department Collaboration: Partner with Product and Engineering teams to influence product development based on insights from customer interactions and usage patterns.Who You AreYou possess a strong background in data science, machine learning, or applied statistics, ideally within a scientific or engineering context.Your experience includes working with R&D, scientific data, or experimental workflows.You have excellent communication skills and a customer-centric approach, adept at translating complex technical ideas into tangible business and scientific benefits.You thrive in a fast-paced, dynamic environment and are comfortable working with a significant degree of independence.Preferred QualificationsExperience in customer-facing roles such as solutions engineering, technical consulting, or pre/post-sales data scienceA master's or doctoral degree in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Physics, or Data Science.Familiarity with product development processes in materials, chemicals, pharmaceuticals, or related industries.Why Join Uncountable?Become part of a team that operates at the crossroads of AI and scientific innovation, collaborating with some of the world’s foremost R&D teams.Play a crucial role in shaping the future of product development and innovation.

About UsAt Concurrency, we are champions of innovation in the technology consulting space. Our team is dedicated to challenging the status quo, continuously seeking new opportunities to redefine what is possible. As a recognized Microsoft Gold Partner and ServiceNow Elite Partner, we have garnered multiple awards for our excellence in the field. If you're passionate about translating technology into impactful solutions, we invite you to join us and unleash your potential as a transformative force.Position SummaryWe are in search of a skilled Machine Learning Architect to elevate our Product Engineering team. In this role, you will focus on designing and implementing data-centric machine learning applications on Azure to address customer challenges. Additionally, you will play a pivotal role in defining the technical landscape of our group, scouting for new projects, and sharing your insights through thought leadership publications. The ideal candidate is adept at tackling complex business challenges and enjoys navigating the entire machine learning software lifecycle, from requirements gathering to system design and documentation. You will thrive in a dynamic environment that allows for rapid development and deployment of new features without compromising quality. You will collaborate with a high-performing engineering team and report directly to the Practice Manager of Engineering, where your contributions will significantly shape our technical trajectory and that of our clients.Core ValuesAt Concurrency, our core values guide our daily actions and interactions:Be Yourself: Embrace your authenticity.Be Bold: Take calculated risks and challenge conventions.Have a Growth Mindset: Welcome learning and apply your skills effectively.Be the Difference: Make every interaction valuable for colleagues, clients, and the community.Assume Positive Intent: Approach every situation with a mindset of generosity and understanding.

Janea Systems (USA) is a vibrant team of top-tier software engineering experts and innovative solution creators from across the globe. We deliver impactful software development services to Fortune 500 companies, spanning from kernel to cloud.We are on the lookout for a highly skilled Senior AI Solution Architect to become an integral part of our consulting engineering team. In this pivotal role, you will be entrusted with the design of scalable architectures for machine learning and AI-driven systems tailored for enterprise clients. Collaborating closely with engineering teams, machine learning specialists, and client stakeholders, you will architect production-ready AI platforms, data pipelines, and distributed systems that underpin advanced machine learning applications. As a senior technical authority, you will establish architectural standards, oversee intricate AI system implementations, and ensure that machine learning solutions are robust, scalable, and maintainable in production environments.

About PathwayPathway is revolutionizing artificial intelligence with the launch of the first post-transformer model that mimics human cognitive abilities.Our innovative architecture, known as BDH, exceeds the performance of traditional transformers, offering enterprises unparalleled insight into model operations. By merging our foundational model with the fastest data processing engine available, we empower organizations to transition from mere optimization to achieving deeply contextual, experience-driven intelligence. Trusted by esteemed entities like NATO, La Poste, and Formula 1 teams, Pathway stands at the forefront of AI transformation.Founded by complexity scientist and CEO Zuzanna Stamirowska, our team includes pioneering AI experts such as CTO Jan Chorowski, who was among the first to apply Attention mechanisms to speech at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist with a PhD attained at just 20 years old.Backed by top-tier investors and advisors, including TQ Ventures and Lukasz Kaiser—co-author of the Transformer architecture behind ChatGPT—Pathway is headquartered in Palo Alto, California.Your RoleWe are on the lookout for pioneering AI Solutions Architects who have a proven track record of specifying and deploying machine learning/AI models in customer environments. This role requires direct interaction with clients.As a Solutions Architect at Pathway, you will play a crucial role in implementing our groundbreaking BDH architecture for key enterprises. Collaborating with high-impact design partners—global leaders in AI innovation—you will co-create production-ready applications.Work closely with our go-to-market team and research engineers to translate BDH’s core features—continuous learning, efficiency, and interpretability—into scalable reference architectures for our clients. This position involves cross-functional collaboration with Sales, Product, R&D, and Engineering teams to ensure technical success, drive customer adoption, and provide rapid feedback for our product roadmap.Key ResponsibilitiesDesign and develop pre-sales technical solutions/reference architectures for BDH deployment within enterprise customer segments.Collaborate with engineering teams to implement BDH directly in customer environments, showcasing measurable enhancements over traditional static models.Engage with hyperscaler partners to align BDH deployments with cloud-native infrastructures, security protocols, and co-selling strategies.Generate solutions and content to expedite the go-to-market process.Lead technical discovery workshops in partnership with the go-to-market team.

Join Hive as a Senior Machine Learning EngineerAt Hive, we are at the forefront of cloud-based AI innovation, providing solutions that empower organizations to understand, search, and generate content seamlessly. Our advanced AI models are trusted by leading global enterprises, processing billions of API requests monthly. We also deliver ready-to-use software applications that leverage our proprietary AI models and datasets, driving transformative applications in content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.With over $120M raised from top-tier investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a diverse team of over 250 professionals across our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we want to hear from you!Your Role as a Machine Learning EngineerTo achieve our ambitious vision, we are expanding our team of elite machine learning engineers. We seek developers who are not only enthusiastic about deep learning but also eager to prototype cutting-edge neural network models and deploy them to production. The ideal candidate thrives on tackling terabyte-scale datasets, embraces continuous learning across the entire machine learning stack, and demonstrates a proactive approach to project ownership. A successful applicant will have a track record of building machine learning-powered projects from inception, contributing innovative ideas, and designing scalable, maintainable data pipelines.

We are seeking a seasoned Solutions Architect with a strong pre-sales background to join our team at Databricks, focusing on the Retail and Consumer Packaged Goods (CPG) sectors. This role involves collaborating closely with Account Executives to define and implement technical strategies for our most significant clients, helping them leverage data-driven solutions to enhance their operations through Machine Learning (ML) and Artificial Intelligence (AI).Your expertise in value-based selling, technical account management, and leadership will be vital in driving the successful adoption of our products. You will guide a select number of clients on their transformational journey, ensuring they fully integrate Databricks into their strategies while fostering a community of technical champions within their organizations.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.

Tiger Analytics is a premier analytics consulting firm renowned for empowering Fortune 100 companies to unlock business value from their data. Our team of consultants boasts extensive expertise in Data Science, Machine Learning, and Artificial Intelligence, earning accolades from industry-leading research firms such as Forrester and Gartner.We are on the lookout for an enthusiastic and skilled Machine Learning Operations Architect to join our dynamic team. Job Overview:As a Senior Machine Learning Operations Architect, you will collaborate with a talented group of Machine Learning Engineers to support, construct, and enhance machine learning capabilities throughout the organization. Your work will involve close interactions with internal customers and infrastructure teams to develop cutting-edge data science workbenches, ML platforms, and products. This role offers an opportunity to deepen your expertise in modern Machine Learning frameworks, libraries, and technologies while addressing the evolving needs of the business. If you thrive on innovative solutions and enjoy working in a collaborative, hands-on environment, this position is perfect for you.Key Responsibilities:Design and implement scalable and reliable systems utilizing cloud-based architectures, technologies, and platforms for high-volume model inference.Deploy and manage machine learning and data pipelines within production settings.Engage in containerization and orchestration strategies for effective model deployment.Participate in rapid iteration cycles, adjusting to changing project requirements.Work as part of a cross-functional Agile team to develop and enhance software that supports advanced big data and ML applications.Apply CI/CD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.Maintain rigorous code management to minimize vulnerabilities, ensuring models are governed effectively and adhere to Responsible and Explainable AI standards.Collaborate with data scientists, software engineers, and other stakeholders to establish best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting, and automated model deployment.Oversee machine learning infrastructure, ensuring optimal availability and performance.Implement comprehensive monitoring and logging solutions for model performance and system health.Continuously monitor the real-time performance of deployed models, analyze data, and proactively resolve performance issues to guarantee optimal model functioning.Troubleshoot and resolve production issues pertaining to ML model deployment and performance.

About the RoleAt Neural Concept, we are at the forefront of technology innovation, capturing the attention of engineers globally. As a pivotal member of our Application Team, you will collaborate with industry leaders to transform their product design processes through cutting-edge technologies. Your role will be crucial in building trust and respect among our clients by delivering exceptional technical solutions. This is an exciting opportunity to blend engineering with artificial intelligence, working with prestigious clients around the world and contributing to the evolution of the industry. If you aspire to experience the rapid advancements in engineering firsthand, this is the team for you.What you will doCollaborate with customer engineering teams to implement projects, developing customized solutions and conducting data analysis using Python.Leverage our deep-learning tools to tackle diverse engineering and physics challenges.Create proofs-of-concept that illustrate how our technology enhances CAD, CAE, and manufacturing workflows.Educate customer teams on effectively using the Neural Concept platform, facilitating seamless AI integration.Work in close partnership with the product team to translate client feedback into actionable product enhancements.Who you areYou are passionate about solving real-world challenges through machine learning and automation, with a commitment to reshaping engineering practices for industry leaders.You possess a solid foundation in both Engineering and Machine Learning (a strict requirement).You have hands-on experience with simulation, and familiarity with CAD/CAE (CFD, FEM, etc.) modeling is advantageous.You hold a master's degree in Engineering, Applied Mathematics, or Physics.You have significant experience with Python programming and are well-versed in machine learning and deep learning frameworks and libraries.You have excellent communication skills, enjoy collaboration, and thrive in customer-facing roles.