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Intern develops and evaluates deep learning models for computer vision tasks like image segmentation and 3D reconstruction to inspect infrastructure, working with PyTorch/TensorFlow in a startup focused on AEC industry tech.
Senior Systems Engineer builds and owns an AI-powered data-analysis tool for Navy submarine patrol data, using Python and ML to extract mission insights and automate workflows.
Overview Systems Engineer Warrenton / Tysons, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable…
About At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on…
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
A fresher Computer Vision Engineer role at Busigence, where the day-to-day involves working with Python, OpenCV, TensorFlow/PyTorch to develop AI models for processing images and videos, preparing data, and building deep learning pipelines.
A Data Science Engineer role for a fresher, working remotely on data preparation, exploration, feature engineering, machine learning modeling, and automation using Python3, Numpy, Pandas, Scikit-learn, SQL, and PySpark.
Develop AI applications using natural language processing (NLP), working with data science teams to build models and processing pipelines with Python, TensorFlow/PyTorch, and other ML frameworks.
Applies machine learning and advanced analytics to solve supply chain problems including demand forecasting, route optimization, and inventory management, using Python, SQL, and big data tools.
Designs and deploys AI/ML models for enterprise automation, analytics, and decision-making, collaborating with cloud/engineering teams to optimize workflows and data pipelines in a remote consulting environment.
Senior Fullstack AI Engineer builds and deploys scalable AI solutions, trains ML models, and integrates them into full-stack applications using Python, Java/Scala, and cloud platforms.
Build and lead the migration of a Swift-based adventure-travel app to React Native/Flutter, integrating Core ML models, GPS tracking, and offline-first features.
Build and own core AI-powered fintech applications using Java/Spring Boot backend and React frontend, shaping the product from the ground up.
Build, deploy, and maintain ML models and systems in Python using scikit-learn, TensorFlow, and Spark to solve business problems.
Builds enterprise-grade AI-powered full-stack applications by integrating LLMs, RAG pipelines, and agentic systems with cloud-native microservices on Azure/AWS.
Mid/Senior AI Engineer analyzes big data, develops and deploys ML/DL/NLP models, collaborates with teams, using Python, TensorFlow, PyTorch, SQL/NoSQL.
A Junior Data Scientist implements AI models (computer vision, time series forecasting) for FieldPro by Optimetriks, optimizing models, creating dashboards, and collaborating with teams to deliver insights for clients, using Python, SQL, and ML libraries like TensorFlow/PyTorch.
Operationalize machine learning services by building scalable APIs and frameworks, collaborating with data scientists and DevOps teams. Core technologies include Python, TensorFlow/Scikit-Learn, cloud platforms (Azure/AWS/GCP), and containers like Docker/Kubernetes.
AI/ML Engineer designing and implementing intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models on AWS platforms, building proof-of-concepts and scalable AI solutions for automation use cases.
Leads advanced analytics and AI solutions for Campbell Soup, developing ML models (MLOps, TensorFlow, PyTorch) to optimize supply chain, marketing, and retail operations while mentoring teams and driving data-driven decision-making.
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