30 ai ml infrastructure engineer jobs found

Job Description Oracle Cloud Infrastructure (OCI) Transformation & Delivery is building a high-impact engineering team to support our Zero Process Oracle (ZPO) initiative-a program focused on streamlining and improving critical business processes across the organization. We are seeking a Principal Software Engineer who thrives in ambiguity, ships early and often, and leads by example to deliver measurable business results. This is not a research role. You will design, build, and operate reliable, secure systems at scale that directly support process improvement across Oracle. You'll drive rapid iteration through MVPs and learning loops, establish engineering best practices, and influence teams across the organization. If you have a bias for action and want to see your work create visible, organization-wide impact-this is your opportunity. Career Level: IC4 Responsibilities Responsibilities Design and build internal tooling and platforms that support...

Job Description Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing AI powered services that scale our OCI operations. You will work with other senior engineers to implement scalable services/applications, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Why Join Us Gain hands-on experience with cutting-edge AI and cloud infrastructure Collaborate with experienced engineers and scientists across OCI Work in a supportive environment with strong opportunities for learning and career growth Help shape...

Job Description Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing AI powered services that scale our OCI operations. You will work with other senior engineers to implement scalable services/applications, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Why Join Us Gain hands-on experience with cutting-edge AI and cloud infrastructure Collaborate with experienced engineers and scientists across OCI Work in a supportive environment with strong opportunities for learning and career growth Help shape...

Job Description Oracle Cloud Infrastructure (OCI) Transformation & Delivery is building a high-impact engineering team to support our Zero Process Oracle (ZPO) initiative-a program focused on streamlining and improving critical business processes across the organization. We are seeking a Principal Software Engineer who thrives in ambiguity, ships early and often, and leads by example to deliver measurable business results. This is not a research role. You will design, build, and operate reliable, secure systems at scale that directly support process improvement across Oracle. You'll drive rapid iteration through MVPs and learning loops, establish engineering best practices, and influence teams across the organization. If you have a bias for action and want to see your work create visible, organization-wide impact-this is your opportunity. Career Level: IC4 Responsibilities Responsibilities Design and build internal tooling and platforms that support...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

CBRE DIRECTLINE, a CBRE Data Center Solutions business, is a leadingtechnology infrastructure services provider enabling mission critical datacenter infrastructure for the world's technology leaders. Catering to abroad spectrum of technology and client requirements, 1200+ skilled techniciansdeliver over 1000 projects annually across data center markets in the US andAPAC. DL has proven success in the deployment of next-generation infrastructuretechnologies across the data center lifecycle; from design & planning,install & build through Day 2 maintenance, technology upgrades &retrofits, including delivering the latest wave of AI/ML platforms JOB TITLE: PROJECT ENGINEER About the Role: TheProject Engineer (PE) is a key member of the site operations team. The PE has aleadership and planning role working with the Project Manager to assess anddirect the feasibility of the schedule and production. They review thetechnical plans of the project, maintain...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV (Automated Vehicle) Safety Engineering Analytics team is seeking an AV Safety Engineering Analytics Lead Engineer with capabilities at the intersection of automotive engineering, autonomous technology, data science and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company to bring a broad range of data and analytics capabilities to bear in AV safety engineering related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal and state agencies to inform system design and quantify driving performance. The team focuses on continuous...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Data EngineerRemote - United StatesJR012769 At Ensono , our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates . The Ensono Core Values unify our diverse talents and are woven into how we do business. We achieve our purpose by living five core values: Honesty, Reliability, Collaboration, Curiosity, and Passion! At Ensono, we are evolving into a software-first Managed Services Provider -a place where AI, automation, and human expertise work together to deliver 10x productivity for our clients. Our Envision Operating System is the backbone of this transformation, orchestrating...

Job Description As a member of the Support organization, your focus is to deliver post-sales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales non-technical customer inquiries via phone and electronic means, as well as, technical questions regarding the use of and troubleshooting for our Electronic Support Services. A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field. 5+ years of proven experience supporting Oracle Analytics platforms including Oracle Analytics Cloud, Fusion Data Intelligence, Oracle's Big Data Service (BDS), DFS, DIS, Data Catalog, and Oracle Cloud Infrastructure (OCI). Strong expertise in Hadoop...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Principal Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Principal Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description We are seeking a Senior ML Runtime & Reliability Engineer to own the production reliability, scalability, and operational stability of enterprise AI systems deployed across Snowflake and Microsoft Azure. This role ensures predictive and agentic AI systems operate reliably in real-time, scale with event demand, and meet enterprise performance and availability standards. This is a production systems role - not a model development role. Real-Time Inference & Runtime Engineering Design always-on inference environments Architect real-time model execution pipelines Engineer failover and rollback strategies Support high-throughput event-driven ML systems Event Platform Reliability Scale and stabilize event ingestion systems Optimize runtime performance for GeoSense, PWS, and predictive systems Reduce shared dependency bottlenecks Production Operations Lead incident response for ML production...

Job Description About the Role We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Build UX experiences and agentic workflows to improve MLE workflows and productivity Build backend integrations to provide unified experience across ML lifecycle Raise the bar on system...

Job Description About the Role We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Build UX experiences and agentic workflows to improve MLE workflows and productivity Build backend integrations to provide unified experience across ML lifecycle Raise the bar on system...

Job Description The Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML...

Job Description The Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML...

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description -Previous experience in Site Reliability Engineering (SRE) or DevOps roles, preferably within a data-focused or machine learning environment. Proven experience in maintaining and monitoring data systems, with exposure to machine learning infrastructure. Strong hands-on experience with cloud data warehouses, such as Snowflake or Databricks, including data quality and system performance monitoring. Proficiency in Python (for automation), SQL, and infrastructure-as-code tools like Terraform. -Ability to assess system performance and design scalable solutions for data quality checks, uptime, and reliability. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color,...

Job Description Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Responsibilities Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to...

Job Description Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Responsibilities Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to...

Job Description The Role:?? We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Design and development of scalable, reliable, high-performance ML framework to support model training at scale. Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments,...

Job Description The Role:?? We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Design and development of scalable, reliable, high-performance ML framework to support model training at scale. Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments,...