601 to 625 of 3,138 Permanent Microsoft-Azure Jobs

looking for experience in the following skills: At least 4 years of experience in Java development. Experience with Cloud Native technologies on AWS, Azure or GCP is essential. Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering ...

with Wordpress and WooCommerce would be beneficial. Familiarity with software development methodologies (Agile, Scrum, Devops etc.) and version control. Experience of Cloud infrastructures Azure or AWS. Working experience of API and REST API integrations. Strong analytical and problem-solving skills to identify and mitigate development risks effectively. Experience ...

CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem ...

Proven track record of building and leading customer-facing data products or analytics platforms. Deep expertise in Snowflake and modern cloud platforms, especially Azure (experience with AWS or GCP a plus). Strong technical proficiency with the modern data engineering stack, including tools such as dbt, Coalesce, Airflow ...

.NET framework 4.8.1 and .NET core V8+ An understanding of software architecture, design patterns, and development best practices Knowledge of cloud services Azure/MDM Services Knowledge of .Net MAUI or Android Native Coding practices Knowledge of SQL databases MS SQL, MSRS Knowledge of version control tools ...

Proven track record of building and leading customer-facing data products or analytics platforms. Deep expertise in Snowflake and modern cloud platforms, especially Azure (experience with AWS or GCP a plus). Strong technical proficiency with the modern data engineering stack, including tools such as dbt, Coalesce, Airflow ...

Python, Bash, or PowerShell. Demonstrated experience with configuration management tools such as Ansible, Chef, or Puppet. Demonstrated familiarity with cloud platforms (Oracle, AWS, Azure, GCP) and containerization (Docker, Kubernetes). Preferred Additional Skills: Knowledge of data warehousing and big data technologies. Certification in cloud platforms or database management. ...

communicate effectively with engineering peers and non-technical stakeholders across the business Desirable skills Experience working with cloud platforms such as AWS or Azure Exposure to cloud-native architectures (e.g. serverless, containers) Experience contributing to improvements in team processes, tooling or engineering practices Understanding of API design ...

background in data architecture, data modelling, or largescale database design. Experience with relational and NoSQL databases. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Strong understanding of data governance, security, and compliance principles. Experience with ETL pipelines, data warehousing, and integration tools. Skills in Python ...

/knowledge/experience: Experience with Python as a primary language, alongside SQL and Bash. Experience working with cloud platforms such as AWS, Azure, or GCP. Experience with data quality frameworks and data observability tools. Relevant professional certifications, including SAFe, PMP, or Agile certifications. Prior experience supporting enterprise ...

computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

manage technical governance frameworks and programme‐level architecture. Participate in design reviews, identifying risks, dependencies, and improvement opportunities. Architect cloud‐native systems using Azure, AWS, and Oracle Cloud. Apply Service‐Oriented Architecture (SOA) and Domain‐Driven Design (DDD) principles. Design event‐driven systems using Kafka and Pub/ ...

computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow ...

computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow ...

/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity ...

computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark ...

experience using modern AI and orchestration frameworks such as LangChain, LlamaIndex, or equivalent. Familiarity with data infrastructure (SQL, Snowflake, ClickHouse) and cloud environments (Azure, AWS, or GCP). Understanding of financial indexes, factors, ESG, and thematic investing and their role in institutional portfolios. Experience designing multi-step reasoning ...

2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with ...

2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with ...

ability to design and shape solutions that are right for the problem at hand. You bring proven experience with cloud providers (AWS, Azure, or Google Cloud) and a solid understanding of modern architectural patterns, including Infrastructure as Code (IaC), containerised systems, and serverless architectures. Deep Technical Foundations: Strong ...

2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with ...

essential to the job: • Distributed version control systems (Git, Mercurial etc.) • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.) • Strong scripting ability (e.g. Python, Shell, PowerShell) • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.) • Artifact and dependency management ...

where applicable. Technical Breadth: A strong systems engineering core with significant hands-on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks ...

experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such ...