6+ years of experience in required. Educational Background : A bachelor's degree in computer science, information systems, or a related field is typically required. Candidates with substantial work experience in relevant roles may also be considered. Technical Skills: Power BI Architects should have an in-depth understanding of data analysis and visualization principles. Proficiency in Power BI, SQL, DAX, and other data tools is essential. Experience with data modelling, ETL processes, and creating dashboards and reports using Power BI is also crucial. Experience: Most employers seek candidates with several years of experience in similar roles. This includes hands-on experience in data modelling, ETL processes, and developing comprehensive dashboards and reports using Power BI. Problem-Solving Skills : Power BI Architects frequently encounter complex data-related challenges. Innovative problem-solving skills are essential to devise effective solutions. Attention to Detail : Given the critical nature of data accuracy, Power BI Architects must possess excellent attention to detail. They should be adept at identifying and correcting errors or inconsistencies in data. Communication Skills : Power BI Architects need to collaborate with various stakeholders, such as business analysts, project managers, and data scientists. Strong communication skills are essential for effective collaboration and conveying complex data insights. Teamwork : Power BI Architects often work within teams. Therefore, they should possess good teamwork skills and the ability to collaborate effectively with others. Continual Learning: The field of data analysis and visualization is continually evolving. Power BI Architects must stay updated with the latest features, updates, and best practices to leverage them effectively in their work. Job Description: Manage the end-to-end data flow in an Azure environment, from raw layer to staging to presentation layer. Develop Power BI reports and dashboards based on client requirements. Design DAX expressions in reports according to functional specifications. Embed Power BI reports into web applications. Validate reports to ensure they meet the functional requirements. Coordinate between business analysts, developers, and testers to ensure seamless project execution. Show more Show less

We are looking for a result-driven Sales Professional with a proven track record to join our dynamic team. The ideal candidate should possess a strong background in sales, excellent communication skills, and a passion for building and maintaining client relationships. If you're looking to grow your career in a fast-paced, performance-driven environment, we want to hear from you! Key Responsibilities: Identify and pursue new sales opportunities through leads, cold calling, networking, and field visits Develop and maintain strong relationships with existing and potential clients Meet and exceed targets Prepare and deliver compelling sales presentations and proposals Collaborate with internal teams (marketing, product, operations) to align on goals and strategies Stay updated on market trends, competitor activities, and industry developments Eligibility Criteria: Education: MBA in Sales, Marketing, or a related field (mandatory) Experience: Minimum 2 years of experience in sales Skills Required: Excellent communication and interpersonal skills Strong negotiation and presentation abilities High level of self-motivation and goal orientation Ability to work independently and as part of a team What We Offer: Competitive salary with performance-based incentives Opportunities for career advancement and professional development A collaborative and supportive work environment Exposure to diverse clients and market segments Females who are looking to restart their career after a break and are eager to re-enter the workforce and bring fresh energy and proven expertise to our growing team can apply too.

We are seeking a creative and strategic Marketing Professional to join our growing team. The ideal candidate will bring a minimum of 2 years of hands-on experience in marketing, strong analytical skills, and the ability to communicate ideas effectively. This role offers an exciting opportunity to work on diverse campaigns, shape brand strategies, and contribute directly to business growth. Key Responsibilities: Develop, implement, and manage marketing strategies across digital and offline channels Plan and execute campaigns to promote products/services and increase brand awareness Conduct market research to identify trends, competitors, and customer insights Collaborate with cross-functional teams (sales, product, design) to ensure cohesive messaging Monitor and report on campaign performance using marketing analytics tools Create compelling content for websites, social media, emails, and other marketing materials Coordinate with vendors and agencies to execute promotional activities Support event planning, trade shows, and product launches Eligibility Criteria: Education: MBA in Marketing or a related field (mandatory) Experience: Minimum 2 years of relevant experience in a marketing role Skills Required: Excellent verbal and written communication skills Strong understanding of marketing principles, digital tools, and customer behavior Ability to think creatively and strategically Experience with marketing platforms (e.g., Google Ads, Meta Business Suite, Mailchimp, etc.) Familiarity with content creation, branding, and campaign management Strong project management and organizational skills

Artificial Intelligence (AI) Engineer Job Summary We are seeking a skilled and innovative AI Engineer with 4–5 years of hands-on experience in designing, developing, and deploying AI solutions. You will work on cutting-edge projects involving machine learning, deep learning, and generative AI to solve complex business challenges. Key Responsibilities Design and implement AI models using frameworks like TensorFlow , PyTorch , or Keras Develop and fine-tune LLMs (Large Language Models) and integrate them into applications using platforms like Azure OpenAI Build and optimize RAG (Retrieval-Augmented Generation) workflows for enhanced content generation Apply prompt engineering techniques to improve model performance Collaborate with data scientists and software engineers to deploy models in cloud environments (AWS, Azure, GCP) Monitor and evaluate model performance, ensuring scalability and efficiency Build conversational AI agents using tools like Lang Graph , Crew AI , or similar Stay updated with the latest AI research and incorporate best practices into development Required Skills & Qualifications Bachelor’s or master’s degree in computer science, AI , or related field Experience with GenAI tools and frameworks Strong programming skills in Python or R Proficiency in machine learning , deep learning , and NLP Excellent problem-solving and communication skills.