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Showing 8 jobs
Skills:
Algorithms, Java, Qt, Design Patterns, Linux, Distributed Systems, data structures, Windows, Python, Angular
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Python Programming, Deep Learning, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
Java, Apis, Data structures, Sql, Algorithms, Python, LangChain, Anthropic, Deploying AI models, Machine Learning fundamentals, OpenAI, Cohere, SDKs, LlamaIndex
Skills:
Algorithms, Cursor, Lambda, Ec2, Typescript, Netlify, Javascript, data structures, AWS, Java, RDS, Vercel, Code, Linux, Firecrawl, Grok, Claude, GitHub Actions, ChatGPT, Supabase, n8n, Bolt, make, OO Design, AWS CodeDeploy, AI-native tools
Skills:
Prometheus, Elk Stack, Azure Logic Apps, Grafana, Tensorflow, Pytorch, Azure Functions, Docker, Terraform, Python, Azure DevOps, Apache Spark, Ms Azure, Jenkins, Azure Data Factory, Ansible, Apache Kafka, FastAPI, Azure Machine Learning, Kubernetes, scikit-learn, MLflow, GitHub Actions, Application Insights, Azure ML Flow, AKS, DVC, CI CD tools, DevContainer, Azure Monitor
Skills:
causal inference , Tensorflow, Machine Learning, Pytorch, Python, Deep Learning, Foundation Models, Multimodal Learning, Statistical Modeling, Genomics, Clinical Notes, Imaging, Representation Learning, EHR Data
Skills:
Software Development, Programming Languages, Software Design, Debugging, ML infrastructure, Data Processing, accessible technologies, model evaluation, Optimization, architecture, reinforcement learning, model deployment
