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Customer Engineering / Solutions Architect (AI, Edge & Cloud) - UAE
Architects end-to-end AI solutions spanning edge devices, cloud, and IoT for smart cities and industrial systems, optimizing for latency, power, and scale.
Senior AI Solution Architect - Mobility
Design secure, scalable AI architectures for mobility and transportation systems, leveraging Generative AI, LLMs, and cloud platforms to move AI concepts into production.
DevOps Engineer (AWS/Kubernetes/ML Platform) @ Acaisoft Poland Sp. z o.o.
Build and maintain AWS/Kubernetes infrastructure for a global fintech client, automate deployments with CI/CD, and support ML model serving in a 24/7 environment.
Manager, Engineering - AI and Data Team Manager
We are Bugcrowd. Since 2012, we’ve been empowering organizations to take back control and stay ahead of threat actors by uniting the collective ingenuity and expertise of our customers and trusted alliance of elite…
Data Scientist
Build Python-based AI and analytics tools that turn complex financial data into actionable insights using AWS, Generative AI, and cloud-native pipelines.
Software Engineer III, AI/ML, Foundational Lanes
Build AI/ML models and geometric algorithms to extract and render high-fidelity road and lane data for Google Maps, improving navigation accuracy and user experience.
GCP AI Engineer
Designs and deploys AI solutions on Google Cloud Platform using Vertex AI, BigQuery, and Generative AI models with MLOps best practices.
AI Automation Engineer - 12-month contract
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Associate Director - Cloud-Based Data Science - Bangalore
Leads a cloud-based data science team to design, build, and deploy scalable ML solutions on AWS/Azure/GCP, overseeing pipelines, cloud architecture, and stakeholder alignment.
Senior AI/ML Engineer (Remote)
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
Data Architect
Lead enterprise data and AI strategy, designing scalable data ecosystems and cloud-native platforms while guiding AI/ML initiatives and governance for digital innovation.
Google AI Lead Architect
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
Lead Python Developer @ Mindbox Sp. z o.o.
Lead a Python team building and maintaining libraries and CI/CD pipelines for credit-risk modelling toolkits, mentoring developers and collaborating with risk analysts to streamline global model deployment.
Expert AI/ML Engineer
Design and optimize AI/ML models for automotive perception, prediction, and planning systems, including computer vision and trajectory forecasting for assisted/automated parking.
Senior Data Scientist (Advanced Coding Focus)
Design and deploy machine learning models and data pipelines using Python, SQL, and frameworks like TensorFlow/PyTorch to extract insights and drive decisions in a banking environment.
Manager: AI Architecture i
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
Senior data scientist (advanced coding focus)
Build and deploy ML models and data pipelines in Python/R to extract insights and drive decisions for a large African bank.
Senior Data Scientist (Advanced Coding Focus)
Build and deploy ML models and data pipelines in Python/R to extract insights and drive decisions for a large African bank.
Enterprise AI & Data Solution Architect
Designs scalable, secure AI and data architectures for enterprise clients, guiding pre-sales solutions and ensuring technical coherence from proposal to delivery.
AI DevOps Engineer (MLOps & Cloud)
Design and maintain cloud infrastructure and CI/CD pipelines for AI/ML systems, automating deployments and monitoring production AI workloads.