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Phaidra
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Phaidra is looking for a driven Software Engineer to join their Data Platform team. Responsibilities include building streaming & batch components, optimizing data and feature stores, and building high-throughput APIs for AI training.
Phaidra is looking for a Software Engineer (Backend) to join their Data Platform team. The team is responsible for building streaming & batch components, optimizing data and feature stores, developing high-throughput APIs, and fetching external third-party data for AI training. The ideal candidate will work on building scalable components for high throughput data ingestion and processing for autonomous control of industrial systems.
As a Product Manager of Insights at Phaidra, you will own the Insights product roadmap, develop specifications, and work with cross-functional teams to bring the product to market. You will provide technical guidance to customer teams and empathetically understand customer needs to drive product development.
Phaidra, a remote-based company in the USA, is seeking a driven Frontend Engineer with 4+ years of experience in frontend development. The candidate will contribute to frontend applications, set team standards, mentor junior engineers, collaborate with UI/UX designers, and ensure high-quality UI implementation. Requirements include a degree in Computer Science and expertise in JavaScript and CSS3.
Phaidra, a remote-based company, is seeking a ML Applications Engineer in the UK to work on AI-powered control systems for industrial automation. Responsibilities include wearing multiple hats, working with Solutions Engineers, maintaining customer applications, and building tools. Key qualifications include 4+ years of relevant work experience, fluency in Python, and a background in industrial controls or process engineering.
Senior Software Engineer role at Phaidra, a company specializing in AI-powered control systems for industrial automation. Responsibilities include driving technical vision, mentoring peers, collaborating with cross-functional teams, and ensuring operational excellence. Fully remote position with global on-call responsibilities.
As a Senior Software Engineer in the Productivity Engineering team at Phaidra, you will lead initiatives to enhance efficiency and effectiveness of engineering processes, automate tasks, and improve software development lifecycle. Your work will contribute to delivering high-quality software for AI-powered solutions.
The QA Engineer at Phaidra will be responsible for ensuring the quality and functionality of software products through manual testing and analysis. Responsibilities include executing test cases, identifying defects, collaborating with teams, and improving QA processes. The role is fully remote and includes an onboarding program.
Phaidra is seeking an AI Controls Solutions Engineer to operationalize and scale AI solutions for enterprise data center customers. Responsibilities include working with Technical Account Managers and Data Scientists to deploy AI in production and collaborating with customers to define AI problems and deploy solutions using Phaidra's platform.
Seeking a team member to wear different hats as a Software Engineer, Controls Engineer, Data Scientist, and ML Engineer. Responsibilities include understanding AI behavior, building solutions for customer applications, and maintaining customer applications. Must have 4+ years of relevant work experience and fluency in Python.
Phaidra is seeking a Site Reliability Engineer to build and maintain world-class infrastructure for industrial automation. Responsibilities include expertise in cloud infrastructure management, Kubernetes, CI/CD, and observability.
Phaidra is seeking a Research Scientist to lead the development of novel algorithmic architecture for intelligent control systems in the industrial sector. Responsibilities include designing, implementing, and evaluating perceptual processing models, collaborating on research projects, and mentoring Research Engineers. The team is 100% remote and spread internationally. PhD in a technical field is required with expertise in Reinforcement Learning, Deep Learning, or related fields.
Validate energy savings for customer sites and demonstrate findings through data analytics. Coordinate with data scientist team, analyze customer data, present results to stakeholders, and automate monthly savings reports.