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MLOps Engineer
Build and maintain MLOps pipelines for DPR’s AI initiatives, collaborating with data engineers and architects to operationalize ML models in climate-tech applications.
Lead Engineer, MLOps
Lead Engineer building and scaling the MLOps platform that powers AI-assisted logistics for ecommerce brands and consumers.
Data Scientist / ML Engineer (Computer Vision), Junior+ / Middle
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
ML Platform Engineer
Summary As an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work closely with Data…
AI Architect & Consultant
Design and build production-grade AI solutions on Microsoft Azure, including agentic systems, RAG, and ML forecasting, while consulting with clients and supporting presales.
Machine Learning Engineer for Next Generation Triggers (NGT) (IT-CD-PI-2026-177-LD)
Build and run CERN’s next-gen ML platform, deploying AI models on Kubernetes/GPUs and optimizing resource usage for particle-physics experiments.
Главный менеджер по аналитике данных и искусственному интеллекту
Главный менеджер возглавляет функцию аналитики данных и ИИ/машинного обучения департамента, превращая городские данные в практические инсайты и решения на основе искусственного интеллекта для операционной деятельности…
Program Manager
Oversee multiple high-visibility data and AI projects for enterprise clients, aligning internal teams and stakeholders while driving delivery, growth, and process improvements in a remote-first consultancy.
AI Technical Manager
Join our Team About this opportunity: Join our team at Ericsson as a AI Technical Manager, a critical role that drives our end-to-end technical solutions based on customer specifications and burgeoning business…
Associate AI Engineer
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
Staff Software Engineer
Design and own scalable backend services and cloud-native systems in Scala/Java, using Kafka, Spark, and Kubernetes to power global, data-intensive applications.
Senior AI Engineer
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Director - Data Engineering
Leads data engineering strategy and delivery for enterprise clients as a trusted advisor, combining hands-on architecture with business growth and team leadership.
Gen AI Architect
Designs and leads enterprise-scale GenAI/AI architectures, from strategy to production deployment, focusing on RAG pipelines, multi-agent systems, and cloud-native AI solutions while ensuring scalability, security, and business alignment.
Gen AI ML Engineer
Design and deploy scalable GenAI and ML models, including RAG pipelines and multi-agent systems, using frameworks like LangChain and Hugging Face, while collaborating with cross-functional teams to integrate AI solutions into enterprise products.
Director, Compliance Data Science & AI
Lead AI-driven compliance analytics for a global crypto exchange, building AML, sanctions, and KYC models while integrating LLM tools and ensuring auditability in a regulated environment.
Head of Applied AI Products
Lead the design of AI-native products that transform geoscience data into structured knowledge systems using LLMs, RAG, and domain-specific ML models.
Senior Machine Learning Engineer #AIDA
Build and maintain MLOps pipelines and production ML systems for Singtel’s AI/GenAI unit, ensuring model reliability, monitoring, and governance across the lifecycle.
Senior Data Scientist
Designs and deploys ML/AI models (TensorFlow, PyTorch) to analyze petabyte-scale data, run A/B tests, and build recommendation systems for an AI-driven product company.
EG Senior AI Architect
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.