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Designs and builds data pipelines, ML models, and MLOps workflows in Python on GCP/Azure, deploying solutions for an international client in Warsaw with hybrid work.
Join Us! Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build…
Lead a team to design and deploy scalable machine learning systems, using Python and frameworks like TensorFlow/PyTorch, while aligning technical solutions with business goals in a consultancy setting.
Lead a team of machine learning engineers to develop and deploy AI services for a large home improvement retailer, using cloud platforms (GCP), Python, and Kubernetes.
Designs and deploys production-grade ML models (PQL scoring, churn prediction, expansion modeling) to automate business insights from telemetry in a multi-product SaaS environment using Python, SQL, and MLOps tools.
Designs, builds, and deploys AI/ML-powered applications and intelligent systems to solve complex business problems, using Python, PyTorch/TensorFlow, and cloud platforms like Azure/AWS.
Design and deploy large-scale machine learning and AI agent systems to optimize Micron’s semiconductor manufacturing workflows using distributed GPU training and cloud platforms.
Design and deploy large-scale machine learning and AI agent systems to optimize Micron’s semiconductor manufacturing workflows using distributed GPU training, GenAI, and cloud technologies.
Designs and builds production-grade AI/ML architecture blueprints and open-source solutions for enterprise clients in APAC, focusing on scalable, secure, and compliant systems using Python, PyTorch, and Kubernetes.
Senior AI Engineer designs and deploys AI/ML models for banking use cases like fraud detection and predictive analytics, using Python, TensorFlow/PyTorch, and cloud platforms, while ensuring regulatory compliance.
Build and maintain MLOps platforms on GCP/Azure with Kubernetes, automating ML model deployment, monitoring, and scaling for enterprise clients.
Designs and builds scalable data pipelines, cloud infrastructure, and MLOps workflows for a tech-industry client, primarily using Python, Kubernetes, and cloud platforms like GCP or Azure.
Build and maintain backend systems, data pipelines, and APIs for a SaaS influencer marketing platform, using cloud and distributed architectures.
Senior Machine Learning Engineer builds and deploys AI models for defense and supply chain systems, using Python, PyTorch, and MLOps tools in Abu Dhabi.
Designs and maintains scalable AI data platforms for manufacturing operations, building pipelines and frameworks to turn factory and multimodal data into AI-ready datasets.
Lead a team of 6-8 engineers to build and maintain Hinge's recommendation engine, balancing personalization, fairness, and low-latency performance for millions of users.
At ZEISS Corporate Research & Technology, we work at the frontier of science and technology. Our mission is to innovate and develop intelligent solutions contributing directly to future ZEISS products. We’re…
About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt.…
As an OpenShift Account Solution Architect - Ecosystem at Red Hat, you'll drive AI adoption in key accounts, removing technical barriers, presenting value propositions, and collaborating with teams to ensure customer success.
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