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Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Build and deploy ML/AI models (regression, classification, deep learning, LLMs) for business use cases, integrate outputs into Power BI dashboards, and productionize solutions for clients.
Design, train, and deploy scalable ML models in Python using TensorFlow or PyTorch, optimizing pipelines and collaborating with data scientists and product teams.
Build and deploy ML models to detect anomalies in time-series sensor data for climate/industrial systems using Python, SQL, and MLOps practices.
Designs, trains, and deploys AI models using Python and PyTorch/TensorFlow, integrating them into production systems with cloud deployment.
Build and deploy ML models and deep-learning systems in Python, integrating them into production apps and APIs while collaborating with cross-functional teams.
Designs and deploys computer-vision models (object detection, segmentation) using PyTorch/TensorFlow and OpenCV, optimizing for edge/cloud deployment and managing data pipelines.
Staff Data Scientist at Mozn builds and deploys NLP models and AI strategies to extract insights from large datasets, collaborating with leadership and engineering to drive data-driven decisions.
Build and deploy production-grade AI/ML models and features, focusing on deep learning, MLOps, and end-to-end automation for measurable business impact.
Lucidya is on the forefront of innovation in artificial intelligence and is looking for a skilled AI Manager to oversee our AI programs and initiatives. In this key role, you will lead a dedicated team of machine…
Build and maintain Intel's agentic AI platform, writing production code for UI, APIs, and services that help enterprises deploy AI agents on Intel hardware.
Build and deploy AI-driven forecasting, optimization, and generative AI systems for CPG companies using Python, ML, and agentic workflows.
Builds and deploys ML models to optimize marketing spend and forecast demand, using Python, SQL, and basic neural networks with mentorship from HQ’s data-science team.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Maintains and troubleshoots Palantir Foundry data pipelines, monitors data health, and provides L2 support using Python, SQL, PySpark, and TypeScript.
Build and run backend systems that power AI features, focusing on inference pipelines, orchestration, and low-latency APIs for mobile and desktop clients.
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