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Showing 9 jobs
Skills:
Rust, Cloudformation, Jenkins, Git, Gcp, Terraform, Spark, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Hugging Face Transformers, Go, MLflow, TF Serving, vLLM, GitHub Actions, CI CD pipelines, TorchServe
Skills:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining
Skills:
bedrock , S3, CDK, Quicksight, Tensorflow, Lambda, Ec2, Pytorch, Docker, Python, Java, Aws Services, Cloudformation, Scala, Emr, Sql, MLops, Kubernetes, Infrastructure as Code, Hugging Face, R, Generative AI, Scikit-learn, SageMaker, Glue, Transformers
Skills:
Machine Learning, Predictive Analytics, Python, Apis, MLops, Distributed Systems, Cloud-native environments, Developer Productivity, Intelligent Automation, Generative AI, Statistical Machine Learning
Skills:
data engineering , Kubernetes, Data Science, Sql, Python, Docker, Apis, Machine Learning, MLops, Observability, Generative AI, LLMOps
Skills:
data engineering , Machine Learning Algorithms, Package Management, Data Modeling, Json, Version Control Systems, Restful Apis, HTTP requests, Data exchange formats, Dependency tracking, Monitoring solutions, ETL processes, Machine Learning Operations, AI model deployment and monitoring, Data science concepts
Skills:
Apis, Microservices, system integration, MLops, Microsoft Azure, AWS, cloud-native solution development, continuous integration for AI models, AWS Developer CLI, Agentic AI solutions, GitHub Copilot, AI-assisted coding tools, vibe coding environments
Skills:
Github, Json, Tensorflow, Numpy, Git, Pandas, Gcp, Pytorch, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, scikit-learn, LLM application patterns, RAG
Skills:
containerization , Hadoop Ecosystem, Java, Tableau, Data Visualization, Kafka, Machine Learning, Power Bi, MySQL, Bi Tools, Scala, PostgreSQL, Flume, Big Data Technologies, Shell scripting, Data Modeling, RDBMS, Google Cloud, AWS, Distributed Systems, Python, Azure, Statistical Analysis, Jenkins, Devops Tools, MongoDB, Spark, large-scale application development, CI CD pipelines, R, NoSQL databases
