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Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent…
At EX Squared LATAM , we are a digital transformation company focused on developing innovative, high-impact solutions that create real business value. We partner with leading organizations across global, regional, and…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Leading a data engineering team comprising 5-6 consultants Overseeing project delivery of data engineering, ML/MLOps, and cloud migration projects Managing and mentoring the data engineering team Building and…
Build and run machine learning models that turn high-volume security telemetry into accurate, low-noise detections for SoFi’s SOC and fraud teams, using Python, SQL, Spark, and cloud data platforms.
The Applied AI Lead builds and deploys production-grade AI agents and automation workflows for clients in industrial sectors. This hands-on role involves integrating modern AI tooling with legacy IT and OT systems while collaborating with business stakeholders to deliver scalable solutions.
Design scalable AI platforms and productionise ML/NLP models into cloud-native services using Python, AWS/Azure, Docker, and Kubernetes.
Lead end-to-end delivery of complex Data and AI programmes across multiple teams, translating business objectives into roadmaps and technical requirements for data, analytics, and AI solutions.
Remote AI Engineer leading end-to-end AI/ML projects with Python, deep learning, NLP/LLMs, and MLOps, requiring active IRS MBI clearance.
We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and…
Build and deploy AI-enabled data solutions that combine ML, LLMs, and software to support decarbonization in maritime trade.
A Senior Solution Architect/Pre-sales specialist for a Scandinavian SAP consulting firm, building a new practice on SAP-Microsoft integration, data, and AI. The role involves defining target architectures for SAP↔Azure, leading pre-sales technical work (scoping, PoVs, bids), designing data routes (SAP BDC, Databricks, Fabric), architecting AI layers (agents, RAG, Copilot), and advising clients on
Senior Platform Engineer building AI-driven platforms, bridging AI architecture and cloud infrastructure. Core tech includes GCP (Vertex AI, GKE), MLOps, CI/CD, and IaC (Terraform) to support agentic systems and LLM-powered features.
Develop secure, distributed AI infrastructure and synchronization systems using Rust. Focus on decentralized/P2P networking, edge computing, and data privacy frameworks like Merkle trees and CRDTs.
This role involves designing and evolving modern data and AI platforms, focusing on Generative AI and MLOps, with responsibilities including architectural support, designing scalable solutions, and collaborating with cross-functional teams.
Works as an AWS Solutions Architect on AI implementation projects, designing end-to-end architectures using AWS AI/ML services (Bedrock, SageMaker) and guiding engineering teams to turn client AI strategies into production cloud solutions.
A Senior Data/AI Engineer at Guidepoint builds scalable Generative AI systems, including LLM applications and RAG pipelines, using Databricks and AKS, focusing on MLOps, responsible AI, and leading the Toronto-based AI team.
Build and optimize cutting-edge generative AI models for image generation and multimodal applications using AMD’s GPUs, collaborating with researchers and engineers to push visual computing boundaries.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
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