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We devoted to helping customers leverage the value of artificial intelligence (AI) to solve business pain points. We continue to research and develop AI and data-driven intelligent analysis modules for multiple solutions, covering 3 major sub-fields of AI / ML including natural language processing, computer vision, and data science to empower customers embark on AI-driven decisions, respond to market changes faster and develop new business competencies. .

We are seeking a specialist in product management to report to the solutions manager. The incumbent shall be responsible for product design, requirements gathering and collaborate with programmers for managing milestones and product revisions.

Ability to use configuration management tools and revision control system (e.g., Git) Experience with CI/CD & Automation systems (e.g., Jenkins) Experience with AWS Core Services: EC2 / ELB / S3 / CloudFront/ IAM/ VPC, AWS SDK and CLI Build & operation container based platform with Nomad / Consul / Kubernetes. Experience with monitoring, alerting, and log pipeline analysis tools (Graylog2, ELK, Prometheus, etc.)

This position is for candidates with a career plan towards being an AI Full Stack Engineer. You will work with AI researchers in academia, implement algorithms, build computer vision services, and develop core ML pipelines. As a member of the AI team, you will work with worldwide fellow AI engineers, including engineers in our New York, India, and Taiwan branches. The goal of the AI team is to continuously optimize our core algorithms for extended-body estimation

Position Purpose: Reporting directly to the country manager, you will be overseeing the Taiwan category portfolio creating a compelling vision and communicating with style and charisma. You are responsible for the sales mission and vision of the business unit. Under your leadership, you build a team of high-performance individuals to achieve and excel sales growth. You will partner the principal(s) to develop the business strategies, objectives and targets for your respective brands in the regio

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

Unpaid- Intern (Taiwan local) Avalanche Computing, a deep learning data scientist / engineer, delivers amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning for demo the concept. As a data scientist/deep learning intern on our team, you'll help to develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI

隊，致力於提供 AI 技術相關的解決方案，來幫助企業、產業轉型，並以醫療資訊科技為主要的發展領域。 Responsibilities: Understand markets, competition, and customer/user requirements in depth. Identify market opportunities, build business cases, and define product vision and strategy. Work with engineers and cutting-edge technologies, and coordinate and facilitate across departments.

Data Scientists (AI) Intern (Taiwan local) Avalanche Computing deep learning data scientists deliver amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning. As a data scientist/deep learning intern on our team, you'll help to develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI model spanning the border of

As a Product Owner in Titansoft, you define what success looks like towards our business goal! 1. Translate business requirements into user stories for the development teams to understand the product vision and inspire them to deliver exciting and actionable solutions 2. Driving the lean growth process end-to-end: Research, growth models, prioritisation, experiment design, delivery and post-analysis 3. Formulate new hypothesis and discover product opportunities by conducting user behavior and pe