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Senior AWS DevOps Engineer based in Sofia, working on a client's cloud-native healthcare SaaS platform — building and operating AWS infrastructure (EKS, Fargate, Lambda), CI/CD pipelines (ArgoCD, GitHub Actions), IaC, and supporting AI/ML workloads.
Operationalize and deploy ML/AI models on Google Cloud Platform using Vertex AI, building end-to-end pipelines and infrastructure for automated, scalable model production.
We are looking for a Senior AI/ML Engineer to join our engineering team and work on challenging AI/ML projects for international clients. This role is a great fit for an experienced engineer who combines strong Machine…
Anor Bank приглашает Senior AI Engineer Мы ищем опытного Senior AI Engineer , который будет разрабатывать и внедрять современные AI-решения для автоматизации бизнес-процессов и создания интеллектуальных продуктов.…
Build and maintain automated testing pipelines for Ubuntu-based cloud orchestration tools (Juju, OpenStack, Kubernetes) using Python/Go, ensuring reliability and resilience across public clouds and bare metal.
This role involves designing, training, and deploying machine learning models into production at scale for recommendation, personalization, and forecasting systems. You will own the end-to-end model lifecycle, working with technologies like PyTorch, TensorFlow, Kubernetes, and various cloud platforms to serve millions of users.
AI DevOps/MLOps Engineer building and automating CI/CD pipelines for LLM and AI model deployment on Kubernetes/OpenShift, using Jenkins, Docker, Terraform, and model serving platforms for a Singapore-based bank.
Data Engineer building and maintaining scalable data pipelines, warehouses, and data services on GCP (BigQuery, Airflow, Dataform/DBT, Pub/Sub, Cloud Functions) for a multi-carrier shipping SaaS platform, with an AI-augmented insights focus.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
Build and maintain the AI and internal developer platforms, automating cloud resources, Kubernetes clusters, and CI/CD workflows for ML and dev teams using Azure, Terraform, and GitOps.
The Machine Learning & Data Operations Engineer will build and maintain ML/AI infrastructure to support drug discovery, focusing on model deployment, scalable inference, and robust data pipelines. The role involves managing the full lifecycle of models and data quality using technologies like Kubernetes, Python, Go, and various cloud-native tools.
The Data Scientist will develop machine learning models for traffic forecasting and build generative AI solutions like chatbots and RAG architectures to support airport operations. The role involves managing the full lifecycle of models, from development to production, while collaborating with business teams to integrate these tools into decision-making processes.
NOTE: This is a 1-year, Fixed-Term Position. Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use…
Le Big Data est aujourd’hui au cœur de la transformation digitale des entreprises. Chez nous, il ne s’agit pas seulement de technologie, mais d’un véritable levier de création de valeur pour nos clients. Vous êtes…
Design, build, and deploy machine learning and statistical models for fraud detection, loan risk assessment, and customer scoring at a digital bank using Python, TensorFlow/PyTorch, and cloud ML platforms like AWS SageMaker.
Senior Data Scientist owning the full ML production lifecycle—scaling deep learning models from R&D to reliable production systems, building data/feature pipelines, and establishing MLOps standards. Core stack includes Python/Go/Java, GCP (Vertex AI, BigQuery), Docker, Kubernetes, and MLflow/Kubeflow.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Manage a team of ML engineers at a fraud detection company, driving innovation in real-time ML fraud models using the Python data stack while staying 30-40% hands-on in the codebase.
abra professional services is seeking a talented Data Engineer! We are looking for a Data Engineer to join our team and work on cutting-edge AI projects. In this role, you will be responsible for ingesting large…
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