51 to 75 of 6,178 Artificial Intelligence Jobs

for innovation and continuous improvement, always seeking ways to leverage new technologies or methodologies to improve our product and processes. Additional knowledge & experience areas that would be highly desirable AI and Data Experience: Familiarity with artificial intelligence/machine learning concepts and experience integrating AI-driven tools or features into software products or development workflows. For example, hands … on experience with AI coding assistants, chatbots, recommendation systems, or data analytics platforms will be a plus. A demonstrated interest in staying current with AI trends and technologies is highly valued given the strategic importance of AI at BRS Golf. Domain Knowledge: Experience in the sports technology domain or with software products in the golf industry is a plus (e.g. More ❯

Pelagic AI, LLC 1765 Greensboro Station Place, Tower 1, Suite 900, McLean VA 22102 USA +1 DevOps Engineer - (Mid level/Senior/Expert) Data Posted: August 2024 Job Title: DevOps Engineer - (Mid level/Senior/Expert) Req Number: 200-xxxx Location(s): Herndon, VA, Chantilly, VA, Melbourne, FL Position Type: Full-Time, W-2 Employment Salary Range: Competitive … polygraph or willingness to take one. Background investigation required, including a minimum of a criminal and credit check as well as at least three professional references. Role Overview: Pelagic AI is seeking DevOps Engineers of varying levels of experience to support the development and integration of various intelligence capabilities into a test and subsequently operational environment. You will be … numerous components into the larger system infrastructure. Deployment will be across multiple networks into hybrid architectures consisting of both local and cloud infrastructures. As a DevOps Engineer at Pelagic AI, you will be a vital part of our team, contributing to the design and implementation of advanced software solutions. You will work under the guidance of senior engineers to develop More ❯

Holding Company Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using … About the team The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative More ❯

defense, national security, environmental monitoring, and urban planning. We are seeking a highly skilled Senior Data Engineer with a strong focus on big data, data analytics, and geospatial data intelligence to join our engineering team. In this role, you will help design and develop robust, scalable platforms that handle vast amounts of geospatial data and provide actionable insights through … ATREIDES, you will be responsible for developing and optimizing our core software platform, with an emphasis on integrating and processing big data, performing advanced data analytics, and enabling geospatial intelligence features. You will work with cross-functional teams, including data engineers, geospatial analysts, and product managers, to create a high-performance platform that processes massive datasets, integrates complex geospatial … big data processing and platform deployment. Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial Intelligence & Data Analysis: Strong More ❯

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and … transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions … knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling More ❯

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and … transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions … knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In More ❯

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and … transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions … knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In More ❯

leaders of global beverage alcohol businesses as an integral part of their strategic planning and decision-making processes. We uniquely combine our proprietary longitudinal market data, consumer insights and AI-enhanced data science, with valuable on-the-ground human intelligence in 160 markets worldwide, to decipher what is really happening in the global beverage alcohol market. With access to … analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive decision-making and solve complex business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy More ❯

of seaborne trade. Our data is collected only from the most reputable partners and accurate sources, many of which are exclusive to us and our customers. Our advanced analytics, artificial intelligence, and industry expertise transform our unparalleled data into powerful insight delivered through data and analytics platforms and services, news and commentary, and publications that help professionals in More ❯

years of relatable software engineering experience Familiarity in database architecture, user experience (UX), and software development/deployment processes, including toolkits such as Git, Artifactory, and SonarQube Knowledgeable in Artificial Intelligence, specifically Large Language Models A strong understanding of cybersecurity best practices, encryption methods, and secure coding techniques Familiar with observability tools, including Prometheus, Grafana, and the ELK More ❯

you can be. The details What you'll be working on - Build and manage data pipelines and infrastructure to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictive modelling , and economic forecasting to extract insights. - You will comply to data … of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace. Expertise … years you stay at the company - Private medical insurance, including dental cover - 8% employer pension contribution And so much more Staff away days Learning and wellbeing allowances Industry leading AI & technology provision Friendly, supportive colleagues on a mission to change the world Enhanced parental leave & support Staff away days Learning and wellbeing allowances Industry leading AI & technology provision Friendly, supportive More ❯

start-up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with … AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software. What youll be doing: Following a successful product launch and securing Series A funding, theyre scaling fast and now looking for their very first Data Engineer. Youll take the reins on all things data - shaping the architecture … Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data workflows What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and More ❯

Senior LLM Infrastructure Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient … and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics … the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

join our global operations team as Director of Intelligent Operations. This role is pivotal in shaping the future of operational excellence through the application of cutting-edge technologies, including AI, automation, and cloud-native architectures. The ideal candidate will bridge business strategy and technical execution, driving scalable, secure, and privacy-compliant solutions that deliver measurable impact across the organization. A … a culture of learning and growth. Requirements: Proven experience in a senior leadership role driving innovation in complex, data-driven environments. Deep understanding of cloud infrastructure, data orchestration, and AI/ML applications in operational contexts. Strong business acumen with the ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion … and delivering solutions for projects with multiple dependencies and constraints. Strong competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing More ❯

complement our world-leading ETP & ETF business. The Engineering team is responsible for all aspects of software development for the firm, including platform engineering, quant engineering, and ML and AI infrastructure and implementation. As part of a nimble team in a growing organisation, you will be collaborating and developing real time solutions with your colleagues on a constant basis. Our … the Head of Engineering as required. Technical implementation of the quant research environment and all data used in trading and quant research, including data used in Machine Learning and AI and the infrastructure to fully exploit the signals within. Lead and inspire a team of engineers to deliver solutions for Traders, Quants and Operations. Oversee team development and performance, ensuring … business objectives and goals are successfully achieved. Innovate for opportunities to improve development speed and quality including automation and AI process improvement. Lead the design of low-latency services and data pipelines. Ensure scalability, reliability, and performance across all components and consistency and maintainability across firmwide technology. Contribute directly to backend systems in Golang and Python, optimizing for performance and More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing … data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯

performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and data science Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 3+ years' experience in implementing scalable ML systems … . Experience building an enterprise-class business automation solution is a plus. Experience working in a SaaS environment a plus. Stay updated with the latest advancements in machine learning, AI, and data science. About Conexiom: Conexiom is a cloud-based, purpose-built automation platform that automates the most critical and complex B2B document transactions between buyers and sellers. Manufacturers and More ❯