-Min 2 years of call centre *experience in BFSI sector (NBFC, banks, insurance, mutual funds), preferably in outbound/inbound sales or customer service* -communication: Versant 8 *Mandotory : Must be NISM certified or IRDAI certified*
Role & responsibilities Lead the development of generative AI applications using OpenAI models, LLMs, and RAG methods to enhance the accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Preferred candidate profile 3-5 years of experience in AI and machine learning development, with a focus on generative AI and LLMs. Extensive experience with OpenAI, GPT models, and RAG methodologies. Expertise in prompt engineering for AI-driven applications. Strong experience in full-stack development with technologies like Python, Azure, and serverless architectures. Proven experience with Azure services such as Azure Container Apps, Azure Data Lake, Azure Cosmos DB, Azure SQL DB, and Azure Data Factory. Knowledge of API design, real-time data processing, and AI model optimization. Hands-on experience with NLP technologies and frameworks. Familiarity with CI/CD pipelines and best practices for continuous deployment and integration. Strong understanding of AI ethics, data privacy, and security considerations in AI-powered applications. Nice to Have: Experience with mobile development frameworks (e.g., CapacitorJS, Ionic). Familiarity with front-end frameworks and design principles (e.g., Material UI). Experience in advanced AI platforms (e.g., Bedrock, Anthropic). Experience in AI-powered chatbots and conversational AI solutions. Benefits: Competitive salary with performance bonuses. Fully remote and flexible working environment. Opportunities to work with cutting-edge AI technologies and innovative product teams. Career growth in a rapidly evolving industry focused on Generative AI and machine learning
- Hindi speaking candidates - salary - 13000 take home + incentives - easy selection, only 1 round of interview - min qualification HSC - shift timings- 9:30-6:30
Role & responsibilities Strong understanding of digital marketing channels, tools, and best practices (SEO, SEM, email marketing, social media, content marketing, web analytics). Proficiency with marketing and analytics tools (e.g., Google Analytics, Google Ads, social media platforms, CRM systems, Adobe Creative Suite). Basic knowledge of HTML, CSS, and content management systems is desirable. Excellent written and verbal communication skills with attention to detail. Strong analytical, organizational, and project management skills. Creative mindset with a passion for technology and digital innovation. Preferred candidate profile Essential Digital Marketing Tools to Highlight Category Recommended Tools (2025) Use Cases Social Media Management Hootsuite, Buffer, Sprout Social Scheduling, analytics, engagement Video Marketing Adobe Premiere, Final Cut Pro, Canva Video Video production and editing SEO & Analytics Google Analytics, SEMrush, Ahrefs Traffic analysis, keyword research Paid Advertising Google Ads, Facebook Ads Manager, LinkedIn Ads, instagram PPC campaign management Content Creation & Design Canva, Adobe Creative Suite, Figma Visual content, UX/UI collaboration Marketing Automation Marketo, HubSpot Marketing Hub Automated workflows, lead nurturing Email Marketing & Automation Mailchimp, HubSpot, ActiveCampaign Campaigns, segmentation, automation
Part Time Role (Evening Hours) 6-10 pm. 3-4 hrs work mon-fri Role Overview: We are seeking a Senior Generative AI Developer with expertise in building and deploying AI models. This role focuses on Generative AI, LLMs (e.g., GPT models), and the Retrieval-Augmented Generation (RAG) method. The ideal candidate will have hands-on experience with OpenAI APIs, prompt engineering, and full-stack development of AI-powered solutions. You will lead initiatives in building scalable AI-driven applications and collaborate with cross-functional teams to design, implement, and optimize these solutions for real-world use cases. Key Responsibilities: Lead the development of Generative AI applications using OpenAI models, LLMs, and RAG methods to enhance accuracy and relevance of AI responses. Develop and optimize prompt engineering strategies for specific use cases to improve AI output quality. Build and integrate AI models into scalable applications using serverless architecture and cloud infrastructure (Azure preferred). Implement RAG techniques, combining retrieval of relevant data with LLM responses for accurate and context-aware outputs. Collaborate with product teams to integrate AI capabilities into the broader product ecosystem. Design and implement APIs that leverage AI models for real-time data processing and user interaction. Enhance performance and fine-tune LLMs for high accuracy and relevancy in diverse applications. Manage AI model deployment, monitoring, and improvement processes to ensure long-term scalability. Work on natural language processing (NLP) solutions to improve customer experience through AI-driven features. Ensure adherence to security, privacy, and ethical considerations of AI models. Lead a team of developers and collaborate with data scientists to integrate and optimize AI functionalities. Provide technical guidance and mentorship to junior developers in AI, LLM, and RAG projects. Required Skills: 5-10 years of experience in AI and machine learning development, with a focus on Generative AI and LLMs.Male candidates
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