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- ...Requirements At least 5 years of professional experience as a Data Scientist Professional experience with Python, R, and SQL... ...experience with cloud providers Strong understanding of data modeling methodologies (Kimball, Inmon, Data Vault) Experience with tools...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...
- ...repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role Join the cutting-edge team building the...
120000 NGN per month
What You'll Do As part of the 3D-X team, you'll help create high-quality map datasets by: • Accurately outlining and tracing map features. • Labeling map elements according to project guidelines. • Maintaining high accuracy while meeting daily productivity targets. ...- ...enrichment systems. Build threat graph intelligence systems modeling relationships among indicators, malware, infrastructure, and actors... ...and normalization pipelines connecting internal Censys scan data with external threat intelligence feeds. Instrument systems for...
- ...implement secure connectors and ingestion pipelines for enterprise data sources such as knowledge bases and document repositories.... ...preferably Python. ~ Understanding of generative AI, large language models, prompt engineering, and foundational AI/ML principles. ~...
2000 $
...used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers... ...to transform the world of software operations by enabling true model-driven operations via next-generation infrastructure-as-code. This...150 $ per month
...Helm-packaged workloads, RabbitMQ and IBM MQ message brokers, and data stores in production. Participate in follow-the-sun on-call... ...stipend through a Brex Card. Globally distributed, async-first work environment with a follow-the-sun on-call model from APAC hours....2000 $
...used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers... ...about security through state-of-the-art practices such as threat modeling, table-top exercises, architecture and design reviews, static analysis...- ...intelligence and machine learning solutions. Create predictive models, natural language processing applications, generative AI... ...platforms. Develop machine learning algorithms, model architectures, data pipelines, feature engineering processes, and model training...
- ...infrastructure and pipelines that run evaluations consistently across model APIs and terminal agents. Create lightweight containerized... ..., expert annotation, review, quality control, and structured data collection. Collaborate with researchers and engineers to ensure...
- ...commercially minded professional with strong experience in financial modelling, investment analysis, business valuation, and corporate finance... ..., and financial reports. Analyse company and industry data to identify commercial opportunities, risks, and investment considerations...
120000 - 180000 $
...in a Software Engineering role involving event-driven systems, data ingestion pipelines, internal automation tools, or internal monitoring... ...tool and creating services that leverage large language models. Experience with configuration management and orchestration tools...- ...integration components, and engineering standards for enterprise AI. Build secure integrations with the Anthropic API, Claude models, enterprise APIs, data sources, workflow systems, and authorized tools. Establish CI/CD, versioning, testing, evaluation, release, rollback,...
2000 $
...used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers... ...benchmarks, optimization Software security – fuzzing, tabletop threat models, analysis, audit Build systems and toolchains, including for...- ...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 operating systems...
- ...used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers... ...relational and non-relational databases and can effectively design data models that perform well, and tune queries to access them. You are...
150 $ per month
...EMS, exchanges, market making, algorithmic trading, or quantitative trading. Strong system design skills in object-oriented data modeling, service-oriented architectures, and system abstraction. Experienced software engineering background with senior-level experience...2000 $
...used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers... ...NodeJS Database performance evaluation - plans, indexing, data modelling, tracing, monitoring Web browser performance insights - JS,...- ...evaluation frameworks in development and production. Instrument model and tool calls and build observability and measurement... ..., and web applications integrating with CRM, communication, and data warehouse systems. Set technical direction for agent development...
- ...directly with our CTO and their leadership team across Engineering, Data, Analytics, IT and Security — work that translates straight into... ...and marketing across multiple markets and operating models. It's a portfolio with unusual variety — succeeding here means...
- ...diverse sectors of the tech industry. You will work in a fully remote model, building and maintaining advanced AI systems in production... ...— and working with modern orchestration frameworks and cloud data platforms. Requirements ~6+ years of professional experience...Remote job
135000 - 155000 $
...Combinator-backed startup looking to hire for our Engineering & Data Group. We are looking for a backend software engineer with a focus... ...those inputs, and run them against our deforestation detection model and geospatial datasets. Your responsibilities will include:...- ...implement responsible AI and security controls covering sensitive data, access, prompt injection, unsafe tool execution, human... ...search, RAG, tool use or function calling, structured outputs, and model evaluation. Familiarity with Git, REST APIs, SQL, Docker, LLM...
- ...advisers. Strengthen EI’s core power-market datasets and analytical models. Ensure that research in your coverage areas meets EI’s... ...detailed conversation with an operator, examine the supporting data, and turn both into a clear conclusion for a senior decision-maker...
- ...dynamic environments. Analyze tradeoffs across sensing modalities, model design, redundancy, safety, latency, robustness, and embedded... ...in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation. ~...
- ...Responsibilities Collaborate with engineering, product, and data science teams to identify business challenges suited to machine... ...large-scale distributed machine learning systems. Investigate model performance and identify data-quality and system-performance issues...
- ...support for rapid prototyping in Jupyter notebooks. Organize models and outputs for repeatability and discoverability. Debug across... ...for robust, testable, and composable code. Collaborate with data scientists, geoscientists, and engineers to develop KoBold’s...
- ...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, escalation paths, and reliability...
