626 to 650 of 3,034 Permanent Digital & IT Jobs

software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital ...

solving skills Desirable Skills & Experience Experience with Apache Pig or similar data-processing technologies Experience with cloud platforms such as AWS, Azure or GCP Experience with Docker and/or Kubernetes Experience building and maintaining CI/CD pipelines Experience with monitoring, logging and observability platforms Experience with relational ...

experience preferred Experience working with dimensionally modelled data Bachelor’s degree or equivalent experience, Master’s Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding ...

have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...

gathering and analysing data and system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding ...

data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering ...

data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics ...

data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics ...

quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability to translate data insights ...

NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

About Us Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever‐changing ...

models using frameworks like Scikit‐learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full‐stack web applications. You have hands‐on experience with containerisation tools like Docker and orchestration via Kubernetes. ...

Remote · Full Time · Individual Contributor · +8 Years of Experience Staff AI Engineer, Payments Intelligence Who We Are Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks ...

PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure Familiarity with Generative AI (GenAI) and agentic systems is a strong plus Excellent time management skills to handle responsibilities in a complex ...

unstructured) and processing methods (streaming vs batch) Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.) Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/ ...

Spring MVC, Spring Security, REST APIs). Familiarity with Microservices design and RESTful API services. Knowledge of public cloud platforms (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker). Experience with CI/CD tools such as Jenkins or Azure DevOps. Desirable Experience Previous experience of working ...