Job Information Assigned Recruiter(s) Sreegiri R Date Opened 10/06/2025 Job Type Contract Industry IT Services Work Experience 0-1 year City Thiruvananthapuram State/Province Kerala Zip/Postal Code 695001 Country India About Us Blue Ripples Technologies is a dynamic technology company that develops impactful software across multiple platforms. Established in 2012, we have a strong foundation in Digital Transformation with special focus on Legacy System upgrades. From enterprises to visionary new start-ups, we have been part of some powerful digital solutions that have transformed lives. Now, it’s your turn. Job Description We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. Responsibilities Data Analysis and Exploration Analyze large, complex datasets to identify trends, patterns, and relationships. Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses. Utilize statistical methods and data visualization techniques to communicate findings effectively. Predictive Modeling and Machine Learning o Experience and knowledge in analyzing and developing forecasting models using time series data Develop predictive models using machine learning algorithms. Perform feature engineering, model selection, and hyper-parameter tuning to optimize model performance. Ensure that model always meet the relevant evaluation metrics. Data Mining and Pattern Recognition Apply data mining techniques to extract actionable insights from structured and unstructured data. Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes. Implement clustering, classification, regression, and other machine learning algorithms as needed. Collaboration and Communication Excellent story telling and presentation skills Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders. Translate technical findings into actionable insights and recommendations for non-technical audiences. Present findings and proposals in clear, concise, and compelling ways. Requirements Diploma in Computer Science/Electronics or bachelor’s in computer science/Statistics 0 to 1 years of with knowledge in data science, machine learning, generative AI Candidates who completed certified courses in data science/AI is preferred Passionate Learner, with curiosity to explore and find insights from large datasets Strong understanding of statistical analysis, hypothesis testing, and experimental design. Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.). Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.). Excellent problem-solving and analytical skills with attention to detail. Effective communication and collaboration abilities in a team environment. Benefits Opportunities for high-speed professional growth and development. Collaborative and supportive work environment. Training (Technical & Soft skills)
We are seeking a Senior Angular Developer to join our team. This is a critical role to replace a key resource, and we need someone who can hit the ground running within one month to ensure a seamless knowledge transfer and a smooth transition for our customers. Responsibilities Develop, and maintain scalable Angular applications using Angular 14+, ensuring performance, security, and code reusability Implement state management using NgRx, BehaviorSubject, or other patterns to handle complex workflows and application data Design and integrate ApexCharts or similar libraries for interactive data visualization and analytics Lead version upgrades — assess, plan, and implement upgrades to newer Angular versions while ensuring compatibility and code stability Collaborate with UI/UX designers to translate wireframes, prototypes, and user requirements into intuitive, engaging interfaces Advocate for and implement best practices in user experience design, accessibility, and responsive interfaces Integrate REST APIs, manage authentication workflows, and ensure secure data transactions Communicate directly with clients to gather requirements, explain solutions, manage expectations, and provide technical recommendations Participate in code reviews, enforce coding standards, and mentor junior developers on best practices Optimize applications through lazy loading, OnPush change detection, and other performance enhancements Stay current with the latest web development trends, tools, and libraries, and share knowledge across teams Requirements Qualifications Minimum 3 years of professional experience with Angular 14+. Proven ability to lead projects, upgrade applications, and deliver high-quality solutions. Strong portfolio of projects showcasing design thinking, data visualization, and user experience improvements. Technical Skills Deep experience with Angular 14 and above, including architecture, forms, routing, dependency injection, and CLI tooling Proven experience upgrading Angular versions, troubleshooting dependencies, and aligning third-party libraries Expertise in state management using NgRx, BehaviorSubject. Strong proficiency in TypeScript, JavaScript (ES6+), HTML5, CSS3/SCSS, and responsive web design Experience implementing ApexCharts, D3.js, or other visualization tools for dashboards and reports API integration, authentication flows, error handling, and secure data transactions Experience with build tools like Webpack, npm/yarn, and code splitting for performance optimization User Experience (UX) & Design Skills Strong understanding of user-centered design principles, accessibility (WCAG), and usability best practices Ability to translate user requirements into functional, visually appealing interfaces Experience designing intuitive navigation, forms, and interactive components Version Upgrades Skilled in upgrading Angular applications from older versions to newer ones while preserving functionality Familiarity with handling breaking changes, refactoring code, and updating libraries Communication & Collaboration Excellent verbal and written communication skills for client interaction, requirement gathering, and technical explanations Ability to present complex ideas clearly and engage with stakeholders from non-technical backgrounds Experience working in Agile or Scrum environments with cross-functional teams Adjacent Technologies Basic understanding of React, component lifecycle, and hooks Familiarity with Node.js and backend frameworks like Express.js Knowledge of cloud services, CI/CD pipelines, or containerization tools is a plus Benefits Opportunities for high-speed professional growth and development. Collaborative and supportive work environment. Training (Technical & Soft skills)
We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. Responsibilities Data Analysis and Exploration Analyze large, complex datasets to identify trends, patterns, and relationships. Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses. Utilize statistical methods and data visualization techniques to communicate findings effectively. Predictive Modeling and Machine Learning o Experience and knowledge in analyzing and developing forecasting models using time series data Develop predictive models using machine learning algorithms. Perform feature engineering, model selection, and hyper-parameter tuning to optimize model performance. Ensure that model always meet the relevant evaluation metrics. Data Mining and Pattern Recognition Apply data mining techniques to extract actionable insights from structured and unstructured data. Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes. Implement clustering, classification, regression, and other machine learning algorithms as needed. Collaboration and Communication Excellent story telling and presentation skills Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders. Translate technical findings into actionable insights and recommendations for non-technical audiences. Present findings and proposals in clear, concise, and compelling ways. Requirements • Diploma in Computer Science/Electronics or bachelor’s in computer science/Statistics • 0 to 1 years of with knowledge in data science, machine learning, generative AI • Candidates who completed certified courses in data science/AI is preferred • Passionate Learner, with curiosity to explore and find insights from large datasets • Strong understanding of statistical analysis, hypothesis testing, and experimental design. • Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.). • Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.). • Excellent problem-solving and analytical skills with attention to detail. • Effective communication and collaboration abilities in a team environment. Benefits Opportunities for high-speed professional growth and development. Collaborative and supportive work environment. Training (Technical & Soft skills)
Job Information Assigned Recruiter(s) Sreegiri R Date Opened 10/06/2025 Job Type Contract Industry IT Services Work Experience 0-1 year City Thiruvananthapuram State/Province Kerala Zip/Postal Code 695001 Country India About Us Blue Ripples Technologies is a dynamic technology company that develops impactful software across multiple platforms. Established in 2012, we have a strong foundation in Digital Transformation with special focus on Legacy System upgrades. From enterprises to visionary new start-ups, we have been part of some powerful digital solutions that have transformed lives. Now, it’s your turn. Job Description We are looking for a talented dynamic and curios candidate to join our data team. As a Junior Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. Responsibilities Data Analysis and Exploration Analyze large, complex datasets to identify trends, patterns, and relationships. Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses. Utilize statistical methods and data visualization techniques to communicate findings effectively. Predictive Modeling and Machine Learning o Experience and knowledge in analyzing and developing forecasting models using time series data Develop predictive models using machine learning algorithms. Perform feature engineering, model selection, and hyper-parameter tuning to optimize model performance. Ensure that model always meet the relevant evaluation metrics. Data Mining and Pattern Recognition Apply data mining techniques to extract actionable insights from structured and unstructured data. Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes. Implement clustering, classification, regression, and other machine learning algorithms as needed. Collaboration and Communication Excellent story telling and presentation skills Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders. Translate technical findings into actionable insights and recommendations for non-technical audiences. Present findings and proposals in clear, concise, and compelling ways. Requirements Diploma in Computer Science/Electronics or bachelor’s in computer science/Statistics 0 to 1 years of with knowledge in data science, machine learning, generative AI Candidates who completed certified courses in data science/AI is preferred Passionate Learner, with curiosity to explore and find insights from large datasets Strong understanding of statistical analysis, hypothesis testing, and experimental design. Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.). Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.). Excellent problem-solving and analytical skills with attention to detail. Effective communication and collaboration abilities in a team environment. Benefits Opportunities for high-speed professional growth and development. Collaborative and supportive work environment. Training (Technical & Soft skills)