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- ...reliable and affordable energy. Job Summary The Immigration Analyst will be a strategic partner to Professionals, Managers and... ...to act as first point of remediation for any issues Maintain data integrity in accordance with the Immigration Department’s guidelines...Remote job
$150 per month
...Responsibilities Design highly scalable, mission-critical market-data provider services. Build and productionize services and libraries for Alpaca’s streaming and historical market-data APIs. Maintain software quality and test coverage. Participate in code...- ...Responsibilities Design and implement scalable pipelines for telemetry, logs, sensor data, and cloud-software ingestion and processing. Develop and maintain robot-side data ingestion agents for high-volume collection in low-connectivity environments. Develop...
- ...manipulation and evasion patterns. Ingest new on-chain and OSINT data sources and extract additional value from existing data... ...assignment and reduces manual investigative work. Partner with analysts and investigators to convert manual workflows into repeatable, auditable...
$53 - $66 per hour
...We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst,...Remote jobCoating Concepts
Remote15 days ago- ...applications, generative AI solutions, and advanced analytics platforms. Develop machine learning algorithms, model architectures, data pipelines, feature engineering processes, and model training environments. Support cloud-based AI deployments, model...
$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...- ...Responsibilities Define and execute test plans across products, APIs, SDKs, model-powered features, and data platforms. Build and maintain automated test suites and frameworks for functional, integration, end-to-end, regression, API, browser, and service-level testing...
- ...Establish and enforce standard preventative maintenance schedules to maximize safety, reliability, and compliance. Analyze fleet data to monitor maintenance trends, track uptime, and maintain precise digital records of all repairs and inspections. Oversee logistics...
- ...over time. Build HTML viewers and internal tools for task authoring, expert annotation, review, quality control, and structured data collection. Collaborate with researchers and engineers to ensure evaluation data and published outputs are accurate, consistent,...
- ...engineering, and management stakeholders to unblock progress. Requirements A four-year technical degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience demonstrating that a degree was not needed. At least six years...
- ...Responsibilities Implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure. Deploy and manage services on Kubernetes platforms including Amazon EKS and Google Kubernetes Engine. Provision and manage secure,...
- ...technical guidance on quantum-safe encryption, key management, and PKI solutions. Collaborate with cybersecurity, software engineering, data science, and infrastructure teams. Support policy development, governance, strategic planning, architecture reviews, and program...
$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and...- ...scaling of AI-enabled solutions and workflows. Architect secure, scalable, maintainable integrations across enterprise applications, data platforms, and operational systems. Guide technical decisions, architecture, code reviews, technical reviews, governance, and...
- ...private ad network (opt-in!) that directly rewards you for your attention, and a browser-native AI integration focused on keeping private data private. And we’re just getting started. Already 110 million people have switched to Brave for a faster, more private web. Millions...
- ...and non-technical audiences ~ Cross-functional leadership across Sales, Customer Success, Product, Engineering, Implementation, and Data teams ~ Startup or high-growth environment experience preferred ~ Advanced degree such as an MBA, MS, or clinical degree is a...
$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and...$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...- ...review. Requirements ~5+ years of related experience; adtech industry experience a plus ~ Bachelor's Degree; Computer Science, Data/ Analytics a plus ~ Proficiency in at least one programming language like Golang, Python, JavaScript, or Java. ~ Strong SQL and...
- ...audience, and creative adjustments without waiting for management follow-up. 3. Analytics, Reporting & Proactive Recommendations Data & Attribution Analysis: Analyze daily ad performance, CPA, ROAS, and attribution metrics across dashboards. Reporting & Strategy...
- ...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...
- ...functional safety and deep learning safety techniques. Collaborate with machine learning, hardware, and core software teams to keep data pipelines, models, and middleware within defined safety envelopes. Develop and optimize software for Linux and real-time...
- ...Responsibilities Collaborate with engineering, product, and data science teams to identify business challenges suited to machine learning and AI solutions. Develop tools and automate manual processes to improve operational efficiency, experimentation velocity, and...
- ...pipeline components. Write clean, production-grade Java and Python code. Build and operate large-scale ETL/ELT pipelines for data extraction and transformation. Work with GCP and AWS cloud infrastructure, primarily on GKE. Improve observability, reliability...
$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and...$2000 per year
...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...- ...Architect, develop, deploy, and maintain scalable enterprise AI and machine learning solutions. Define end-to-end architectures covering data ingestion, preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance....
$30 - $45 per hour
...What You’ll Do Enter and update information into online systems and spreadsheets Review data for accuracy and completeness Organize files and maintain digital records Follow simple instructions and meet daily or weekly deadlines Communicate with team members...Remote jobSpot On Media
Remote14 days ago- ...retention controls, and safe autonomy boundaries. Evaluate and improve agent behavior using evaluation sets, seller feedback, usage data, quality signals, prompts, tools, retrieval, and models. Build evaluation frameworks, regression pipelines, release checks,...
