51 Ml Infrastructure Jobs - Page 2

You are a deep-tech innovator at the intersection of Artificial Intelligence, machine-learning infrastructure, and edge-to-cloud platforms. Your award-winning solutions enable Fortune-500 enterprises to build, train, and deploy large-scale AI models seamlessly, securely, and at lightning speed. As the global demand for generative AI, RAG pipelines, and autonomous agents accelerates, you are scaling your MLOps team to keep your customers two steps ahead of the curve. **Role Overview:** As part of the MLOps team, your role involves owning the full MLOps stack by designing, building, and hardening GPU-accelerated Kubernetes clusters across on-prem DCs and cloud platforms for model training, fin...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qu...

As a software engineer at Google, you will be involved in developing next-generation technologies that have a massive impact on how billions of users connect, explore, and interact with information. Your expertise will be required in areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will have the opportunity to work on critical projects essential to Google's needs, with the flexibility to switch teams and projects as both you and the business evolve. Google values versatility, leadership, and enthusiasm in engineers who are eag...

As an experienced Machine Learning Engineer with expertise in GenAI systems, your main responsibility will be to design and implement advanced ML solutions with a specific focus on LLM development, RAG systems, and optimization. Responsibilities: - Develop custom AI components and ML infrastructure for modular workflows - Implement LLM fine-tuning techniques including PEFT - Design model quantization and optimization strategies - Architect production-grade RAG systems with sophisticated retrieval - Create custom embedding solutions and hybrid search approaches - Develop prompt testing, evaluation, and management tools - Implement prompt security measures and few-shot learning approaches - De...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related techn...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with ML design, ML architecture, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience with Generative AI and AI Algorithms. Preferred qualifications: Experience in a specific ML domain relevant to the team's work, such as Natural Language Processing (NLP), Generative AI and Graph Neural Networks (GNNs). Experience with MLOps practices, including model monitoring, versioning and CI/CD pipelines for ML Experience in translating high-level business goals into concrete technical delivera...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects and 2 years of experience in a people management, supervision/team leadership role. Prefer...

Role Overview: As a software engineer at Google, you will be developing next-generation technologies that impact billions of users worldwide. Your role will involve working on critical projects, collaborating with teams, and addressing complex engineering challenges to enhance the search experience for users globally. Key Responsibilities: - Write product or system development code. - Collaborate with peers and stakeholders through design and code reviews to ensure best practices. - Contribute to existing documentation and educational content, adapting based on feedback. - Triage product issues, debug, track, and resolve by analyzing sources of issues. - Implement GenAI solutions, utilize ML...

Role Overview: As a Mid-Level AI Software Engineer at Google, you will be a key contributor in developing, deploying, and scaling AI-powered solutions that directly impact Google's employees. Working within the Human Resources Engineering (HRE) team in Hyderabad, you will collaborate with engineers, researchers, and HR professionals to shape the future of HR at Google. Key Responsibilities: - Write code for product and system development. - Engage in design and code reviews to ensure best practices are implemented across various technologies. - Contribute to documentation and educational resources. - Adjust content based on user feedback and program updates. - Diagnose and resolve product or...

**Job Description:** As a Technical Lead Manager for the Contributor Trust Modeling team in Geo at Google, you will play a crucial role in driving improvements to Google Maps information quality by leveraging Machine Learning (ML) to identify user intent and distinguish trustworthy from abusive behavior. Your responsibilities will include mentoring engineers, guiding ML system development and deployment, and setting the team's technical direction in collaboration with cross-functional teams to enhance experiences for Google Maps users and local merchants. **Key Responsibilities:** - Partner with cross-functional teams to evolve strategy while guiding the team to enhance solution quality. - D...

Role Overview: As a software engineer at Google, you will be developing next-generation technologies that impact how billions of users connect, explore, and interact with information and each other. Your work will involve handling information at a massive scale and will span various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. You will have the opportunity to work on critical projects for Google while showcasing your versatility and leadership qualities. Key Responsibilities: - Write product or system development code to contribute to project success. - Collaborate with peers and stakeholders through desig...

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training techniques for both OpenAI and open-source models. Our work spans continual pre-training, fine-tuning, reinforcement learning at scale, and data curation. We contribute to both research and product development across Microsoft. We build and deploy cutting-edge AI technologies that integrate language and multi-modality into Microsoft products. Our team is especially active in developing code-focused models, such as those powering GitHub Copilot and Visual Studio Code. We are looking for a Machine Learning Engineer with a strong foundation in ML systems and a passion for deploying large-scale models in production. ...

Job Description: As a software engineer at Google, you will be developing next-generation technologies that impact billions of users worldwide. Your role will involve working on critical projects that cater to Google's evolving needs, with the opportunity to transition between teams and projects as the business grows. We are seeking versatile engineers with leadership qualities who are eager to tackle new challenges across the full-stack to drive technological advancements. Responsibilities: - Work on ambient related areas foundational for Aura within the AirStream team. - Develop production capabilities for seamless and high-performance interaction between on-device, cloud LLMs, or LLMs in ...

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Google's products operate at an immense scale and cover a wide range of domains such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI/UX, and mobile technologies. Your work will involve tackling complex challenges and contributing to projects that are vital to Google's ongoing success. The Platforms and Devices team at Google is responsible for developing various software platforms, including desktop and mobile environments, applications, as well as Google's first-party devices and services. The team f...

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Your responsibilities will include writing product and system development code, collaborating with peers and stakeholders to ensure best practices, contributing to documentation and educational content, and resolving product or system issues through thorough analysis and debugging. You will also have the opportunity to work on specialized machine learning areas, utilize machine learning infrastructure, and contribute to model optimization and data processing. To qualify for this role, you should have a Bachelor's degree or equivalent practical experi...

Must have skills required : Class Incremental Learning, Computer Vision, Docker/Kubernetes, MLOps, Pytorch, TensorFlow, Vision Transformers, Machine Learning Good to have skills : edge deployment, MLFlow, ONNX, Prometheus/Grafana, Cloud Server (Google / AWS) Radius AI (One of Uplers Clients) is Looking for: ML Ops Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Were looking for an experienced ML Ops Engineer with a strong foundation in computer vision and a passion for deplo...

You should have a Bachelor's degree or equivalent practical experience along with 5 years of experience in software development using one or more programming languages. In addition, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. Moreover, you should possess 3 years of experience in speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field. You are also expected to have 3 years of experience in ML infrastructure including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications f...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years...

Job Description Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.The OCI Data Science team is on a mission to empower developers and data scientists to build, deploy, and scale cutting-edge AI/ML solutions, with a special focus on large language models (LLMs). Were building a next-generation AI/ML platform that enables rapid experimentation and scalable deployment of models on OCI. Join us and help shape the future of AI infrastructure. Preferred Qualifications: 57 years of experience as a full stack software engineer Proficiency in React.js, Java, and Python Experience with containerization technologies like Docker and orchestration ...

Notice - Immediate to 15 days Requirements:- Languages: Java and Golang (mandatory) Technologies: Deep expertise in Flyte OSS and its extensibility Experience with cloud-native development, particularly AWS S3, KMS, and potentially VAST S3 Proficiency in containerization (Docker) and Kubernetes Experience with ML infrastructure components (Model Registry, Feature Platforms, GPU scheduling) Knowledge of security best practices for data access (pre-signed URLs, Vault) Experience with UI/backend integration for orchestration platforms Methodology:Proven ability to diagnose and resolve complex technical debt and architectural gaps Strong problem-solving skills for integrating disparate systems E...

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, a...

Do you want to help solve the world&aposs most pressing challenges Feeding the world&aposs growing population and slowing climate change are two of the world&aposs greatest challenges. AGCO is a part of the solution! Join us to make your contribution. As an AI Platform Architect, you will define and evolve the architecture of AGCOs AI platform, designing the technical foundation that empowers teams to deliver AI solutions efficiently, securely, and with confidence. Your work will shape how ML models move from experimentation to production, how AI platform services are consumed across teams, and how platform capabilities scale to support advanced use cases on cloud and edge deployments, inclu...

Do you have a passion for tackling global challenges like feeding the growing population and addressing climate change AGCO is dedicated to being part of the solution, and as an AI Platform Architect, you can play a crucial role in shaping the architecture of AGCO's AI platform to enable efficient, secure, and confident delivery of AI solutions. Your responsibilities will involve defining the reference architecture for AGCO's AI platform, including AI/ML data pipeline platforms, model training infrastructure, CI/CD for ML, observability, and developer tools. You will design core platform services such as containerized training environments, model registries, and integration interfaces to sup...

The ideal candidate for this position should have a Bachelor's degree or equivalent practical experience and a minimum of 5 years of experience in software development using one or more programming languages. Additionally, the candidate should have at least 3 years of experience in testing, maintaining, or launching software products, with 1 year of experience in software design and architecture. It is also required to have 3 years of experience in Natural Language Processing (NLP) concepts and algorithms, along with experience in designing NLP solutions. Furthermore, the candidate should possess 3 years of experience in ML infrastructure, including model deployment, model evaluation, optimi...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. Respons...