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Designs, builds, and deploys AI models (ML/DL/NLP/CV) to automate decisions and processes, working with data scientists and engineers to integrate intelligent systems into production.
Build and deploy ML models for semiconductor manufacturing, maintaining data pipelines and MLOps workflows using Python, TensorFlow/PyTorch, and cloud platforms.
Design and run experiments with generative and statistical models, tune architectures, and integrate ML features into production systems using Python and cloud platforms.
We are seeking a skilled Data Engineer to join the Insights, Digitalization & Analytics department. The ideal candidate will design, develop, and maintain scalable data solutions to drive analytics, machine…
Senior data analyst building ML-driven forecasting tools for oilfield equipment and reservoir dynamics, analyzing sensor data and telemetry to optimize production.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
We are seeking GenAI and Agentic AI Engineering Hands-on Lead or a Manager with a focus on delivery, client excellence and innovation. As an experienced Agentic AI Engineer with deep expertise in LLM, Azure AI,…
Design and scale enterprise AI systems, particularly LLM-based solutions, for Chubb’s global insurance operations while ensuring performance, compliance, and cross-team collaboration.
Build and optimize deep-learning models for autonomous-driving perception and planning, using PyTorch and model-efficiency techniques to speed up real-world deployment.
We are Local Infusion. Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry, because patients deserve better. By providing both…
Build and deploy AI-powered logistics applications in Python, integrating ML models into scalable cloud systems on AWS/Azure/GCP.
Build and deploy enterprise GenAI applications using LLMs and multi-agent frameworks, integrating RAG pipelines and Python backend services for scalable AI solutions.
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Build and evaluate predictive models, detect anomalies, and forecast metrics using Python, SQL, and data science libraries to support fintech product decisions.
Owns data analytics and AI capabilities for robotic-assisted surgery products, turning usage metrics and ML models into actionable insights that guide product strategy and improve patient outcomes.
Build ML models to detect and govern AI agents in Kubernetes clusters, using telemetry and LLMs to create risk scores and enforce security policies for enterprise customers.
Embedded AI/ML engineer designing and deploying models for manufacturing workflows like visual inspection, yield improvement, and predictive analytics using Python, PyTorch, and SQL.
Build and deploy deep-learning forecasting models for DeFi trading strategies using reinforcement learning and time-series data to maximize protocol yield.
Builds data pipelines and ML models (NLP, LLMs, RAG) to process financial data, automate analytics, and enhance AI workflows using Python, cloud platforms, and MLOps practices.
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