Jobs at Guaranteed Cleaning Services

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques for performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical vision for the organization. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact projects that redefine customer experiences. The position supports a culture of innovation where engineers are encouraged to solve undefined challenges and mentor others while working in a collaborative environment.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging open-source technologies, and shaping the long-term technical vision for foundational AI infrastructure. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while working in a culture that values innovation, technical excellence, and ethical AI deployment. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. The position involves designing and deploying large language model infrastructure, including training, inference, and optimization techniques to enhance performance and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation and ethical AI. The position offers the opportunity to work with a broad stack of open-source and cloud technologies while driving high-impact solutions for millions of customers.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and Huggingface to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for foundational AI. It offers the opportunity to work on complex, undefined problems with a team dedicated to bringing humanity and simplicity to financial services.

The Sr. Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and establishing governance and observability for production AI. The position leverages a broad stack of open-source and cloud technologies to solve complex, undefined problems. This opportunity appeals to candidates seeking to lead technical vision and influence cross-functional stakeholders while working on high-impact applications that enhance customer experiences. The role offers a collaborative environment dedicated to advancing state-of-the-art science and engineering in a mission-driven culture.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment that values responsible AI innovation. It offers the opportunity to work on high-impact projects that directly improve customer experiences while fostering professional growth through mentorship and cross-functional leadership.

This full-time Technical Project Manager role at Zensar Technologies supports enterprise clients in Atlanta, Georgia, focusing on digital transformation and customer experience improvement. The position requires an onsite presence of at least three days per week. Key responsibilities include leading cross-departmental engagements, translating business objectives into delivery strategies, and managing the full software development lifecycle using Agile methodologies. The role also involves facilitating stakeholder conversations, mitigating project risks, and collaborating with QA and engineering teams to ensure high-quality releases. The position is appealing due to Zensar's open, creative work environment that encourages innovation and collaboration. Employees benefit from access to leading-edge technology, comprehensive training opportunities, and a culture that rewards entrepreneurial spirit with clear paths for career advancement.

This full-time Field Service Representative role within Schneider Electric's Secure Power & Cooling Services team focuses on maintaining critical data center equipment. The position involves performing assembly, startup, diagnostics, repairs, and preventive maintenance on cooling systems in dynamic environments. Key responsibilities include troubleshooting with customers and partners, completing detailed service reports, and resolving escalated technical issues. The role offers a home-based flexible schedule with a 40-hour guarantee and potential overtime, along with regional or national travel. It is particularly appealing due to the comprehensive paid training program, including two weeks of in-person instruction in Dallas, and the opportunity to work for a global leader committed to sustainability and innovation. The company provides all necessary tools, vehicles, and equipment, fostering a culture of continuous learning and professional growth.

This Account Manager role within the Post Acute Care division focuses on managing a book of business for existing accounts in the Chico and Sacramento, California areas. The position requires five days of field work to build long-term relationships, generate revenue, and identify opportunities to expand sales to current clients. Key responsibilities include conducting strategy meetings to align customer needs with product offerings, coordinating sales forecasts, and utilizing internal systems to manage new customer setups. The role appeals to entrepreneurial professionals seeking growth within a business casual environment that values diversity and inclusion. Candidates will benefit from a supportive culture with strong potential for career advancement and access to comprehensive training resources.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and low latency. The position requires collaborating with cross-functional teams to integrate advanced technologies like PyTorch and vector databases while contributing to the long-term technical vision of the organization. The role is appealing for its opportunity to lead breakthrough product experiences that transform banking, offering a culture that values innovation, technical excellence, and responsible AI deployment. The position is based in major hubs including Cambridge, McLean, or New York.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform banking experiences. The position involves partnering with cross-functional teams to build AI foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role emphasizes a culture of innovation and ethical AI development, providing a platform to lead research agendas and solve undefined problems in a collaborative environment.

This full-time Distinguished AI Engineer role is based remotely within Capital One's Intelligent Foundations and Experiences team, focusing on building responsible and scalable AI systems for the banking sector. The position involves designing and deploying large-scale AI components such as foundation model training, LLM inference, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to improve system performance and contributing to the long-term technical vision for foundational AI. The role appeals to candidates seeking to lead cross-functional teams in a culture that values innovation, technical excellence, and the mission to transform banking through technology.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

The Sr. Distinguished Applied Researcher role is an individual contributor position within Capital One's AI Foundations team, focused on developing trustworthy and scalable AI systems for the banking sector. Key responsibilities include building and training large-scale foundation models across their entire lifecycle, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional leaders to translate complex research into tangible business solutions. The position offers the opportunity to mentor applied scientists, represent the company in the global research community, and drive strategic direction without direct people management. This role is appealing for its chance to work on cutting-edge machine learning challenges that redefine customer experiences, supported by a culture that values innovation, technical excellence, and the ethical application of AI.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy, large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models from design through production, leveraging technologies like PyTorch and AWS to extract insights from massive datasets. Key responsibilities include conducting high-impact research on emerging AI methods, optimizing training and inference for deep learning models, and translating complex technical concepts into tangible business value. The role appeals to candidates seeking to work at the intersection of cutting-edge research and real-world application within a collaborative culture that values innovation, ethical AI practices, and professional growth. The position is based in McLean, New York, or San Jose, with opportunities to drive the next generation of customer-facing intelligent products.