Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or
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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a highly experienced Principal / Director-level Full-Stack Software Development Engineer to join our Digital Caremark organization and lead the architecture, design, and delivery of next-generation digital solutions. This role spans AI-enabled applications, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams. The ideal candidate combines deep technical expertise, platform thinking, and strong collaboration skills to build secure, scalable, API-first solutions in a highly regulated environment. Key Responsibilities: Architecture & System Design • Define and drive architecture for large-scale distributed systems and digital platforms • Lead design reviews and set architecture standards and best practices • Champion API-first, microservices, and event-driven architecture patterns • Ensure systems meet scalability, reliability, security, and compliance requirements • Balance performance, cost, and speed in technical decision-making Fu
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role can be based out of our Toronto office or remotely in the Quebec region. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with ent
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in São Paolo for our hybrid working model. Requires professional proficiency in both written and verbal English communication As an ideal candidate, you will have: Ideally 8 to 11 years of rela
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed This role will be based remotely in Italy. What you’ll do at MongoDB Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed This role will be based remotely in Germany or Amsterdam. What you’ll do at MongoDB Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into s
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes. As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like. IN THIS ROLE YOU WILL GET TO: Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward Build and deliver tailored demos and proof of concepts across Snowfla
AI Assistant (Professional) Job Summary We are looking for a proactive and technology-oriented AI Assistant (Professional) who can effectively use Artificial Intelligence, Information Technology, and digital tools to improve productivity, automate routine tasks, support decision-making, and facilitate day-to-day professional work. Key Responsibilities • Facilitate and manage all types of work using AI and Information Technologies. • Use AI tools and applications to improve efficiency, productivity, and work quality. • Research, analyse, organise, and present information using AI and digital technologies. • Assist in preparing reports, documents, presentations, data analysis, and other professional outputs. • Identify opportunities for AI-based automation and process improvement. • Use appropriate AI tools for drafting, summarising, analysing, researching, and managing information. • Support various departments and team members in adopting and effectively using AI tools. • Maintain proper documentation and records using digital systems. • Stay updated with the latest developments in AI, automation, software, and information technology. • Ensure responsible, accurate, and confidential use of AI and technology in professional work. • Perform any other technology-related or AI-enabled tasks assigned by management. Required Skills & Qualifications • Graduate in any relevant discipline; qualification in IT, Computer Applications, Business, Commerce, or related fields will be an advantage. • Strong understanding of AI tools, productivity applications, and information technology. • Good analytical, research, and problem-solving skills. • Excellent communication and documentation skills. • Ability to learn and implement new AI tools quickly. • Good knowledge of MS Office / Google Workspace and other digital applications. • Ability to handle multiple tasks and work independently. • High level of confidentiality, accuracy, and professional responsibility. Preferred • Practical
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of AI and data-driven marketing. Join the Snowflake team. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset and who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how PMM gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications and AI/ML platform. Our get it done culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake EMEA product marketers conceive of and execute go-to-market plans that drive awareness, adoption and drive success for our customers. We are looking for a Senior Product Marketing Manager to orchestrate go-to-market execution targeting AI dec
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of AI and data-driven marketing. Join the Snowflake team. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset and who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how PMM gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications and AI/ML platform. Our get it done culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake EMEA product marketers conceive of and execute go-to-market plans that drive awareness, adoption and drive success for our customers. We are looking for a Senior Product Marketing Manager to orchestrate go-to-market execution targeting AI dec
The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities. Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience developing complex production software in modern C++. Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. Exper
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications and AI/ML platform. Our get it done culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake EMEA product marketers conceive of and execute go-to-market plans that drive awareness, adoption and drive success for our customers. We are looking for a Product Marketing Manager to orchestrate go-to-market execution targeting Enterprise Architects, scale global programmes, amplify regional priorities, and ensure our message resonates with this persona and broader technical decision-makers across industries. This is a highly cross-functional role, working closely with Account Teams, Field Marketing, Technical Sales, ABM, Demand Generation and Global Product Marketing to align strategy with execution. The successful candidate will thrive on programme orchestration, community building, enablement at scale, and surfacing regional insights to shape global direction. This role is based out of Snowflake’s London office. What You’ll Do Own and align marketing strategy in the EMEA region for the Enterprise Architect persona, ensuring plans reflect technical architecture insights and empowering the field to execute
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV) Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. Solid programming skills, with a good understanding of data structures and computer systems fundamentals. Strong learning agil
Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata’s AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.
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