Education Requirements:

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field. MBA is a plus

Experience Requirements:

• 4-6 years of product management experience

Other Requirements:

• Strong experience working with large enterprise clients to manage complex requirements and deliver tailored solutions

• Proven ability to lead cross-functional teams, driving LLM-powered products from ideation to delivery

• Strong project management skills, ideally with experience in agile development

• Excellent communication and presentation skills, with the ability to articulate technical concepts clearly and influence stakeholders

• Exceptional analytical and problem-solving skills, with a passion for delivering innovation

• Experience with AI, machine learning, or chatbot technologies

• Background in innovation management, with a proven passion for developing and experimenting with new ideas

• Ability to manage multiple projects simultaneously in a fast-paced environment

• Deep knowledge of Large Language Models (LLMs), natural language processing (NLP), and related AI technologies

• Hands-on experience with LLM platforms (e.g., OpenAI, GPT, BERT) and familiarity with applying these technologies in enterprise solutions

• Strong understanding of SaaS platforms, with an emphasis on AI-driven product enhancements

Responsibilities:

• Client Collaboration

• Product Strategy

• Feature Development (LLMs)

• Internal Projects

• Project Management

Experience Requirements:

• 3+ years of demonstrated experience in frontend development

Other Requirements:

• Professional experience with VueJS or another modern JavaScript web framework (React, Angular, etc)

• Experience with writing automated tests (e.g. Jest, Karma, Jasmine, Mocha)

• Experience using Git, Github, JIRA in a professional/workplace environment

• A solid understanding of core web and browser concepts (e.g. how the browser parses and constructs a web page)

• A solid understanding of semantic HTML, CSS, and core JavaScript concepts

• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational problems and propose thorough iterative solutions

• Experience with performance and optimisation problems and a demonstrated ability to both diagnose and prevent these problems

• Comfort working in a highly agile software development process

• Positive and solution-oriented mindset

• Effective communication skills: Regularly achieve consensus with peers, collaboration, and clear status updates

• An inclination towards communication, inclusion, and visibility

• Self-motivated and self-managing efficiency, with great organisational skills

• Demonstrated ability to work closely with other parts of the organisation

Responsibilities:

• Ownership of key UI modules

• Own front-end build and test systems

• Ensure the technical feasibility of UI/UX designs and implement them

• Translating designs and wireframes into high-quality code

• Building reusable components and front-end libraries for future use

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• Proven 5+ years of experience as an AI Analyst or similar role with a focus on data analytics and AI integration

Other Requirements:

• Experience in developing and deploying generative AI models is an advantage

• Good understanding of Prompt writing and evaluation

• Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch)

• Strong understanding of machine learning algorithms and natural language processing

• Solid experience with SQL for data manipulation and analysis

• Strong analytical and problem-solving abilities to derive actionable insights from complex datasets

• Excellent communication skills to translate technical concepts for varied audiences

• Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement

• Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities

Responsibilities:

• Requirement Analysis

• Data Exploration and Analysis

• Feasibility Assessment

• Model Selection and Design

• Implementation and Deployment

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Proven experience (7-9 years) as a Software Development Engineer in Test (SDET) or similar role, with a strong focus on test automation using Java

Other Requirements:

• Proficiency in Java programming language and experience with Java-based automation frameworks such as JUnit, TestNG, Selenium WebDriver, and Rest-Assured

• Minimum 2-3 years exp in performance testing and perf tools, such as JMeter, Locust, or k6, is required

• Solid understanding of software testing principles, methodologies, and best practices

• Practical experience in configuring and utilizing continuous integration/continuous deployment (CI/CD) pipelines and tools such as Jenkins

• Experience with Agile development methodologies and working in Agile teams

• Excellent problem-solving skills and attention to detail

• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

• Familiarity with security testing using open-source tools is an added advantage

Responsibilities:

• Lead the design, development, and implementation of automated test frameworks using Java and related technologies

• Create robust, scalable, and maintainable automated test suites to validate the functionality, performance, and reliability of our software products

• Collaborate with software engineers to ensure testability of code and incorporate automated tests into the continuous integration/continuous deployment (CI/CD) pipeline

• Mentor and provide technical guidance to junior members of the testing team, fostering a culture of quality and excellence

• Participate in requirements analysis and contribute to the creation of comprehensive test plans and test cases