... required. - Experience working with AWS and cloud-based environments is preferred. - Solid technical background, with a demonstrable understanding of AI and machine learning. - SaaS experience is essential. - Python/scripting experience is an added advantage. - Should have worked on tools like Zendesk, Confluence, JIRA, ...
... closely with data scientists, product managers, and backend developers to bridge the gap between traditional software quality and the non-deterministic nature of machine learning models. By implementing advanced testing strategies, you will directly influence the quality of our product releases, ensuring that our AI solutions ...
... workflows with AI You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python ...
... https://jobeax.com/link/uE4B0pVQ4wnaVfG1 will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade https://jobeax.com/link/hr4DRoO0PfKRfp4W :- Design and architect ...
... development Exposure to hardware-software interfacing (e.g., For the Compiler & ML Track: LLVM, MLIR, GCC) or experience optimizing runtime performance for machine learning workloads The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including ...
... management this role will allow cross-disciplinary learning in a variety of industries in which KSS membranes and systems play critical roles. KSS' Field Service Engineers become the face of the company while on site; recommending spare parts and service solutions to improve machine uptime, maintenance and operation, as well ...
... functional domain - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 10+ years of software engineering experience, with significant expertise in distributed systems, platform engineering, or machine learning infrastructure - Proven experience building, deploying, ...
... functional domain - Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - 10+ years of software engineering experience, with significant expertise in distributed systems, platform engineering, or machine learning infrastructure - Proven experience building, deploying, ...
... operations of large-scale data systems operating at petabytes scale. We focus on real-time indexing pipelines, web crawling, streaming analytics, distributed machine learning infrastructure. Drive architecture, design, development, operation and documentation of large scale services. Build, test and deploy cutting edge solutions ...
... millions of daily transactions across orders, payments, sellers, and returns using a sophisticated, event-driven architecture powered by streaming data and machine learning. As a Staff Engineer, you will operate at a group-level scope, driving technical strategy, leading architecture decisions, and influencing cross-functional ...
... deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. We've raised $375M in capital with dozens of world-class ...
... modern modeling frameworks) to expose reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks ...
... Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee ...
... Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee ...
... AI Development Automate with Intelligence & Complex Problem Solving: You go beyond simple scripting to tackle ambiguous, large-scale challenges. You leverage Machine Learning models, AI agents, and heuristics to streamline intricate data workflows, effectively replacing 'human-in-the-loop' bottlenecks with intelligent, autonomous ...
... Experience with NLP libraries and frameworks like NLTK, spaCy, or Stanford NLP, and platforms like Dialogflow, IBM Watson, or Microsoft LUIS Understanding of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn for building intelligent chatbots Knowledge of RESTful APIs and experience with ...
... developments in LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with ...