BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Junior Data Scientist are as follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met.
BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Data Scientist areas follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met. Job Type: Full-time Pay: From ₹200,000.00 per year Benefits: Health insurance Work Location: In person
*************************Immediate Opening************************** Roles & Responsibilities: Python & SQL Work on data extraction, transformation, and manipulation using Python scripts and optimized SQL queries. Machine Learning Modeling Design, train, evaluate, and tune machine learning models to solve real-world problems. MLOps & Deployment Support model lifecycle management and deployment using AWS SageMaker, Azure ML, or similar MLOps tools. Cloud Platforms Leverage cloud services like AWS Glue, Azure Data Factory, and Databricks for scalable data science workflows. Data Visualization Create insightful dashboards and reports using Power BI, Tableau, or Python visualization libraries. Data Storytelling Present data-driven narratives and actionable insights to technical and non-technical stakeholders. Cross-functional Collaboration Work with business analysts, engineers, and product teams to gather requirements and translate them into data solutions. Agile Practices – Participate in Scrum ceremonies including sprint planning, stand-ups, and retrospectives. Performance Optimization – Identify performance bottlenecks and recommend solutions to improve model and pipeline efficiency. Quality Assurance – Write test cases and assist in validating data outputs to ensure the integrity and accuracy of results. Problem Solving – Troubleshoot production issues and collaborate with team members to provide timely solutions. Team Support – Take direction from senior team members and actively contribute to development and support tasks.
**************** Immediate Opening ************** Roles & Responsibilities Proven 2+ years experience as a Frontend Web Developer. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular, along with tailwind, typescript. Strong experience in end-to-end deployment and CI/CD. Knowledge of web analytics, SEO, and web standards. Experience with version control systems like Git. Understanding of API and protocols for integrating application software and services. Strong mobile development experience. Excellent problem-solving skills, attention to detail, and ability to work independently or collaboratively in a fast-paced environment. Good communication, documentation & interpersonal skills, problem solving skills.
About the Role We are looking for a dynamic Sales Executive who is excited to work in a fast-evolving, AI-powered sales environment. This role blends traditional sales expertise with the ability to leverage modern sales technologies. The right candidate will be skilled at building client relationships, identifying opportunities, and driving revenue while using AI-driven tools to streamline outreach, data management, and follow-up activities. Key Responsibilities Identify and qualify prospects using CRM and AI-enabled lead generation platforms. Drive personalized outreach campaigns across multiple channels (email, LinkedIn, phone). Manage follow-up communications using automated scheduling and workflow tools. Utilize AI-based insights and analytics to prioritize leads and guide the sales process. Collaborate with internal teams to ensure smooth handover and account growth. Conduct client meetings, presentations, and negotiations to close business opportunities. Build long-term relationships with clients, maintaining trust beyond initial sales. Stay informed about market trends, competitive activity, and new technologies impacting sales. Qualifications Bachelors degree in Business, Marketing, or a related field (or equivalent experience). 15 years of proven sales experience in B2B or B2C markets, ideally in SaaS, technology, or digital services. Strong communication and consultative selling skills. Familiarity with CRM systems (Salesforce, HubSpot, Zoho, etc.). Experience using modern sales tools for prospecting, email campaigns, or data enrichment is an advantage. Ability to interpret data and apply insights to improve sales performance. Core Competencies Relationship building and client management. Strategic thinking and problem-solving. Adaptability in a technology-driven environment. High level of initiative and accountability. Comfortable working with both automated systems and human interaction.