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KEY ACCOUNTABILITIES (maximum 3 sections and 2000 words for each section) Key Accountabilities (1) AI Craft – Specialization - Apply and evaluate established and emerging algorithms under production constraints;…
About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and…
Requisition ID # 174440 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Hybrid Job Location: Oakland Department Overview The Wildfire, Emergency and…
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of…
POWER YOUR GREATNESS PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. General…
Design and optimize scalable ETL pipelines and data architectures using Microsoft Fabric and Azure to enable analytics and reporting across the organization.
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
Designs and optimizes scalable, secure data platforms for clinical research analytics, AI/ML, and regulatory compliance using cloud-native tools and distributed systems.
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
Staff Data/Platform Engineer designing and scaling distributed data systems (Kafka, Flink, Spark, Delta Lake) for real-time streaming pipelines, analytics, and AI infrastructure at a conversational AI company. Remote in Brazil.
Embeds with federal/national-security customers to build and deploy AI-enabled applications, workflow automation, and integrations in secure environments, solving mission-critical problems through hands-on engineering and cross-functional collaboration.
A senior engineer builds and deploys AI agents and workflow automation for enterprise customers, splitting time between core platform development and hands-on customer delivery in regulated industries like healthcare and national security.
Build and deploy AI agents and workflow automation for enterprise customers, splitting time between core platform development and hands-on customer delivery in regulated industries like healthcare and energy.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Staff Applied Scientist builds and deploys AI/ML models for InMobi’s ad tech platform, driving real-time performance improvements and measurable business impact using Python, Spark, and cloud tools.
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
Lead advanced analytics, predictive modeling, and AI-powered initiatives as VP of Data Science within Burson's Insights & Intelligence team, using Python, SQL, R, and cloud platforms to deliver data-driven client solutions in a communications/PR agency setting.
The AI Platform Engineer will design and operate enterprise AI/GenAI platforms, focusing on LLMOps, MLOps, and building reusable AI services like RAG and inference APIs. The role also involves developing CI/CD pipelines and coaching teams on DevOps best practices within a capital markets environment.
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