Role & responsibilities Monitor and control all testing activities and tasks within squad(s) Responsible for analysis, design, test procedures and test suites Responsible for timely delivery of different testing automation milestones within squad Identify and mitigate the Risk and Issue Management Coordinate interfacing systems and teams for integration test activities. Manage non functional testing end to end Requirements must have Testing Experience in Life400 is a must Experience working in Agile Scrum environments. Hands on development of automated test scripts Should have experience in implementing BDD approach. Experience of using and implementing a variety of test tools, including tools for test management/planning, defect tracking e.g. Tools JIRA, Confluence, Good knowledge of test methodologies and approaches Good verbal and written communication skills Experience in managing a team of at least 2 or more Experience in financial/Insurance domain for min 2 years is a must.
Role & responsibilities Monitor and control all testing activities and tasks within squad(s) Responsible for analysis, design, test procedures and test suites Responsible for timely delivery of different testing automation milestones within squad Identify and mitigate the Risk and Issue Management Coordinate interfacing systems and teams for integration test activities. Manage non functional testing end to end Requirements must have Testing Experience in Life400 is a must Experience working in Agile Scrum environments. Hands on development of automated test scripts Should have experience in implementing BDD approach. Experience of using and implementing a variety of test tools, including tools for test management/planning, defect tracking e.g. Tools JIRA, Confluence, Good knowledge of test methodologies and approaches Good verbal and written communication skills Experience in managing a team of at least 2 or more Experience in financial/Insurance domain for min 2 years is a must.
Job brief We are looking for a Full Stack Developer to produce scalable software solutions. Youll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. If you’re also familiar with Agile methodologies, we’d like to meet you. Responsibilities Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software Requirements and skills Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) with AI exposure Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Degree in Computer Science, Statistics or relevant field
Job summary We are seeking a talented and motivated AI Developer to join our innovative team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data science, with a passion for building robust, scalable, and intelligent AI-powered applications. You will work on the full lifecycle of AI solution development, from ideation and data processing to model deployment and monitoring. Key responsibilities Develop AI Models: Design, build, train, and fine-tune machine learning and deep learning models for specific business problems, such as computer vision, natural language processing (NLP), or predictive analytics. Implement Algorithms: Write clean, efficient, and robust code to implement machine learning algorithms and integrate them into existing software applications. Manage Data: Collaborate with data scientists and data engineers to source, preprocess, and clean large datasets to ensure high-quality data for model training. Deployment and Integration: Deploy AI and machine learning models into production environments and integrate them with APIs and other software systems. Performance Monitoring: Conduct testing, monitor model performance, and perform statistical analysis to continuously evaluate and optimize AI systems. Stay Informed: Keep up-to-date with the latest advancements, trends, and technologies in AI and machine learning through continuous learning and research. Collaborate: Work closely with cross-functional teams, including product managers, software developers, and business stakeholders, to understand requirements and deliver effective AI solutions. Required skills and qualifications Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. Experience: Proven experience in AI development, machine learning, and/or data analysis. Programming Languages: Proficiency in programming languages such as Python, with experience in relevant libraries like scikit-learn, NumPy, and Pandas. AI Frameworks: Hands-on experience with deep learning frameworks like TensorFlow, PyTorch , or Keras. ML Concepts: Strong understanding of machine learning algorithms, deep learning, neural networks, and natural language processing (NLP). Problem-Solving: Excellent analytical and problem-solving skills, with a keen attention to detail. Communication: Strong communication skills to effectively collaborate with a multidisciplinary team and present complex technical concepts to non-technical stakeholders. Preferred qualifications Experience with cloud platforms for AI deployment, such as Amazon Web Services (AWS), Google Cloud (GCP), or Microsoft Azure. Experience with big data technologies, such as Hadoop or Spark. Experience with specific domains like computer vision or reinforcement learning. Familiarity with Agile development methodologies and DevOps practices.