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Role Overview The AI/ML Specialist will play a pivotal role in designing and implementing advanced AI solutions that address complex business challenges. Collaborating with cross-functional teams, this role will…
Designs and deploys large-scale AI/ML workloads on GPU cloud infrastructure, advising key customers and optimizing performance while collaborating with sales and product teams.
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked…
Senior SRE building and operating CI/CD pipelines, Kubernetes clusters, and monitoring for AI-powered maritime defense systems using Terraform, Docker, and cloud platforms.
OpenTeams (founded by NumPy creator Travis Oliphant) is hiring a Senior Engineering Architect to own end-to-end architecture of a secure AI test and evaluation platform for U.S. Government customers. The fully remote U.S. role centers on Python, open-source AI tooling (PyTorch, JAX, Ray, Kubeflow), ML infrastructure, and secure cloud-native system design.
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Position Summary As a Senior AI Platform Engineer, you will bridge the gap between Data Science research and scalable, enterprise-grade AI production systems. You will design, build, and maintain the end-to-end MLOps…
Designs and deploys cloud-native automation for Zscaler’s Zero Trust Exchange platform, integrating AI-driven workflows to streamline multi-cloud infrastructure provisioning, security enforcement, and lifecycle management across AWS/GCP/Azure.
Calling All AI/ML Engineers! Ready to shape the future of intelligent solutions? Join Agilisium's Walk-in Drive on 27th June and take the next step in your AI career. ? Role: Senior AI/ML Engineer Walkin Venue:…
Walkin Date: 14th March 2026 Time: 10:30 am to 3:00pm Location: Chennai Venue: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096 AI/ML Developer Years of…
Introduction to the Role We are seeking an experienced MLOps / GenAI Engineer with strong expertise in building and deploying production-grade ML pipelines, cloud-native solutions, and MLOps frameworks. The role…
F2F Walkin Drive - 14th Feb 2026 Location: Hyderabad Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data…
1.AI/ML Engineer Exp: 5+ Years JD : Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous…
Data Engineer at AllCloud joining the development team for a core data warehouse project and AI initiatives: ingesting large volumes of data, building and optimizing large-scale data pipelines in cloud and on-prem environments, and analyzing data alongside Data Scientists. Core stack includes Python, Spark, dbt, Airflow/Kubeflow, Docker/Kubernetes and AWS data services.
Designs and deploys high-performance GPU clusters for AI workloads, owning the full architecture cycle from customer requirements to production deployment.
Build and scale ML platforms for Reddit’s Ads team, including distributed training, experiment tracking, and agentic AI workflows to accelerate model development and deployment.
Design and evangelize AI/ML solutions for healthcare clients, building predictive models, NLP workflows, and MLOps pipelines while ensuring compliance and scalability.
Senior MLOps Solutions Engineer on the Pure Solutions team who designs and automates end-to-end MLOps pipelines and GPU-accelerated AI/ML reference architectures, integrating Pure Storage platforms (FlashBlade, FlashArray, Portworx) with Kubeflow, MLflow, and Ray. Day to day: CI/CD-driven pipeline automation, Terraform/Ansible-based infrastructure, and optimizing LLM inference with tools like NVID
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