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At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app…
Job Description: AI Engineer (12-15 Years Experience) Position Title Senior AI Engineer / Lead AI Engineer Experience 12-15 Years Location Flexible / Hybrid / Onsite Job Summary We are seeking an experienced AI…
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…
Security engineer who embeds security controls, governance, and risk management across the ML, AI, and generative-AI lifecycle — threat modeling, AI red teaming, and securing RAG/agent architectures alongside Data Science, MLOps, DevSecOps, and Cloud teams. Core stack: Python, Docker, Kubernetes, AWS/Azure/GCP, SAST/DAST/SCA, plus frameworks like OWASP LLM Top 10 and MITRE ATLAS.
Senior Lead Data Scientist on NBCUniversal's Peacock Data Science team, building recommendation and personalization models for the Peacock video streaming service — from feature creation through model evaluation and real-time deployment — using Python, SQL, PySpark, deep learning, and GenAI foundation models in a hybrid New York role.
Build and maintain the ML platform powering humanoid robotics, including data pipelines, training, evaluation, and deployment for AI models at fleet scale.
Machine learning engineer on Weave's ML team building AI infrastructure, internal platforms, and models (LLMs, RAG, fine-tuning) to help product teams ship AI-powered features, with a focus on voice/speech use cases like ASR and transcription. Fully remote in India, overlapping India and US business hours.
A manager-level role split 50% data governance and 50% MLOps: building data catalogs, quality rules, and PDPA/GDPR compliance while owning the ML lifecycle (feature stores, model registry, CI/CD, drift monitoring) for production models. Core stack includes Python/SQL, Snowflake/BigQuery/Redshift, Airflow, MLflow, SageMaker, Docker, and Kubernetes.
QA Architect Job requirements Experience Range: With at least 7 years of quality assurance experience, including substantial hands-on work with data science and machine learning testing frameworks Key Responsibilities:…
Senior AI/ML Engineer Job requirements Experience Range: 2–4 years of experience, including at least 2 years specifically building LLM-based applications, RAG systems, or AI agent workflows Key Responsibilities: Design…
Datalign is an AI-native organic growth partner for wealth management firms. Since launching from Cambridge's innovation hub in 2022 with Link Ventures as our lead investor, we've helped over 100,000 Americans…
Director AI Engineering (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to…
Ecolab Digital is seeking a commercial solution focused Principal AI Architect to scale the value of AI / DS intelligence to deliver unique offerings for customers via digital software solutions with embedded AI. In…
We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls…
QuickBooks, Intuit’s flagship accounting software, supports millions of small business owners and accountants worldwide through various offerings, including QuickBooks Online, Desktop, and mobile editions. The Business…
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
As Principal AI Platform Engineer, you’ll be the key architect and technical owner of the platform that powers Nearmap AI innovation. You’ll lead a team of 3 to 4 mid-level and Senior Engineers, set the technical…
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
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