76 to 100 of 125 Remote Distributed Computing Jobs

generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision. Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings … adjustments as necessary, provides input into resolution and documents solution Qualifications Bachelor's or Master's degree in a related field. Understanding of Cloud Computing basics Linux/Unix administration knowledge and/or experience Basic scripting skills in python, bash, shell, or Powershell. Have a passion for problem More ❯

generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision. Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings … adjustments as necessary, provides input into resolution and documents solution Qualifications Bachelor's or Master's degree in a related field. Understanding of Cloud Computing basics Linux/Unix administration knowledge and/or experience Basic scripting skills in python, bash, shell, or Powershell. Have a passion for problem More ❯

generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision. Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings … adjustments as necessary, provides input into resolution and documents solution Qualifications Bachelor's or Master's degree in a related field. Understanding of Cloud Computing basics Linux/Unix administration knowledge and/or experience Basic scripting skills in python, bash, shell, or Powershell. Have a passion for problem More ❯

generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision. Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings … adjustments as necessary, provides input into resolution and documents solution Qualifications Bachelor's or Master's degree in a related field. Understanding of Cloud Computing basics Linux/Unix administration knowledge and/or experience Basic scripting skills in python, bash, shell, or Powershell. Have a passion for problem More ❯

generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision. Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings … adjustments as necessary, provides input into resolution and documents solution Qualifications Bachelor's or Master's degree in a related field. Understanding of Cloud Computing basics Linux/Unix administration knowledge and/or experience Basic scripting skills in python, bash, shell, or Powershell. Have a passion for problem More ❯

developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage More ❯

developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage More ❯

that drive decision making and impact our national defense. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, and UI design. We need our engineers to More ❯

that drive decision making and impact our national defense. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, and UI design. We need our engineers to More ❯

that drive decision making and impact our national defense. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, and UI design. We need our engineers to More ❯

tier peer-reviewed conferences or journals Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in More ❯

in developing real-time dashboards. Hands-on experience with SQL and NoSQL databases for data processing and analysis. An understanding of big data technologies, distributed computing, and real-time processing frameworks. Familiarity with MLOps practices, CI/CD, and DevOps tools. Basic understanding of electricity markets, grid operations … plan, additional health insurance, free parking, company restaurant, meal vouchers, etc.) Continuous learning and career development opportunities, including training and certifications in AI, cloud computing, and data science. A hybrid working model, including the option to work remotely and 34 days of paid leave per year. External applications, a More ❯

big data solutions while collaborating with global customers. We offer comprehensive training in top cloud technologies and the opportunity to work with industry-leading distributed processing systems. Role Impact In this role, you'll contribute to transforming how businesses leverage data through AWS's distributed processing solutions. You … languages. PREFERRED QUALIFICATIONS - Bachelor's degree in Information Science/Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field - Good understanding of distributed computing environments - Prior working experience with AWS - any or all of EC2, S3, EBS, EMR Amazon is an equal opportunities employer, and we More ❯

knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking, risk management, or capital markets . Why Join? This is a unique opportunity to More ❯

Agile Development processes and tools (Scrum, JIRA) - Continuous Integration/Continuous Delivery (CI/CD) (GitLab CI, GitLab Runners) - Test-Driven Development Methodologies (JUnit) - Distributed computing platforms (IaaS, PaaS, SaaS), micro-services, container technologies - Web and SOA technologies, RESTful web services, geospatial databases and/or geospatial (GIS More ❯

Agile Development processes and tools (Scrum, JIRA) Continuous Integration/Continuous Delivery (CI/CD) (GitLab CI, GitLab Runners) Test-Driven Development Methodologies (JUnit) Distributed computing platforms (IaaS, PaaS, SaaS), micro-services, container technologies Web and SOA technologies, RESTful web services, geospatial databases and/or geospatial (GIS More ❯

high-performance data solutions. Data Modelling & Warehouse Design : Proficiency in data modelling, warehouse design, and database optimization, with examples of logical and physical models. Distributed Data Systems : Experience in deploying, managing, and tuning distributed systems for optimal reliability and performance. Coding & Development Practices : Demonstrated coding expertise with modular … Design scalable, complex data architectures that provide cross-team value. Data Modelling & Governance : Establish standards in logical and physical data modelling and data governance. Distributed Computing : Employ parallel processing, streaming, and batch workflows to manage large data volumes effectively. ETL & Workflow Automation : Build ETL processes and automated workflows More ❯

more than just a recruitment and software development company — we’re a German based global partner dedicated to your business success. With a diverse, distributed team, we specialize in IT recruitment, outstaffing, outsourcing, software development, and consulting services for more than 100 clients around over 20 countries. We are … and Voice Synthesis applications. Experience in AI-related fields , such as low-latency audio stream processing or leveraging LLMs in product environments. Knowledge of distributed computing and cloud infrastructure at scale. What We Offer: Autonomy at speed: High-ownership roles in a fast-moving startup. Remote-first flexibility More ❯

cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau More ❯

maintaining production ML applications Demonstrated experience deploying ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS … Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning More ❯

maintaining production ML applications Demonstrated experience deploying ML models into production environments, including both batch and real-time/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS … Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning More ❯

Possess strong expertise in ETL/ELT design and implementation within large, disparate, and complex datasets; Demonstrate experience with big data processing systems and distributed computing technologies such as Databricks, Spark, Sage Maker, and Kafka; Develop scalable and efficient solutions on cloud computing platforms and infrastructure within More ❯

deployed and used at regular intervals. Responsibilities: Able to work in a small team to design, build, integrate, and test components into a deployable distributed system Participate in all aspects of the development lifecycle: research, design, develop, test, SCM, code review, CI/CD, troubleshooting/support, and performance … Android applications Experience with automated testing frameworks, in addition to any experience writing/conducting test plans Background in cryptography, privacy, virtual private networking, distributed computing protocols Experience in commonly used communications protocols such as TCP, UDP, HTTPS, TLS Experience with container technologies such as Docker Experience creating More ❯

with large-scale datasets Preferred: • Experience with forensic data processing or handling sensitive data • Knowledge of data security and compliance best practices • Experience with distributed computing frameworks and high-performance data processing • Familiarity with containerization (Docker, Kubernetes) and cloud-based data engineering solutions More ❯

of training models exclusively on clean, high-quality data . You will lead the design of data ingestion pipelines, data annotations, and high-throughput, distributed systems that support large-scale data processing and curation. You'll work closely with researchers, engineers, and infrastructure teams to ensure that our data … only clean, high-quality data flows through the pipeline. Collaborate with research to define data quality benchmarks . Optimize end-to-end performance across distributed data processing frameworks (e.g., Apache Spark, Ray, Airflow). Work with infrastructure teams to scale pipelines across thousands of GPUs . Work directly with … teams of engineers. Expertise in Python , Spark , Airflow , or similar data frameworks. Understanding of modern infrastructure: Kubernetes , Terraform , object stores (e.g. S3, GCS) , and distributed computing environments. Strong communication and leadership skills; you can bridge the gap between engineering and research. Skilled at balancing rapid, iterative delivery with More ❯