AI/ML Engineer-Gen AI

As a Sr. AI/ML Engineer specializing in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation, your role will involve designing, developing, and deploying cutting-edge AI solutions to address complex problems. You will collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows, contribute to establishing best practices, and mentor team members in applying LLMs effectively. Additionally, you will work with leadership to identify AI opportunities and deliver solutions following modern software development practices. Key Responsibilities: - Develop, optimize, and deploy applications using LLMs to meet specific business requirements - Utilize prompt engineering techniques to extract desired outputs from generative models - Collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows - Stay informed about the latest advancements in GenAI developments and techniques - Contribute to the establishment of best practices for efficient utilization of generative models - Mentor and guide team members in comprehending and applying LLMs effectively - Identify AI opportunities and promote strategy - Deliver solutions following modern software development practices Qualifications Required: - Bachelor's degree in computer science, IT, AI, or relevant discipline - Minimum of 4 years of experience in Data Science and Machine Learning - Experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution Architecture - Specific experience in GenAI and Conversational AI - Proficiency in Python programming and related AI/ML libraries - Experience with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML solutions - Experience with AI model evaluation, prompt optimization, and implementation of Responsible AI practice - Knowledge of API integration, microservices architecture, and production-grade AI application deployment - Designing GenAI applications integrating advanced models like OpenAIs GPT, BERT, or Open Source LLMs - Deep understanding of the RAG architecture and its implementation - Knowledge in SQL generation using LLM is preferred - Ability to write high-quality, maintainable code and work collaboratively - Knowledge of Agile software development lifecycle and change control procedures - Strong analytical skills with the ability to analyze complex requirements and define technical solutions - Excellent communication skills in both verbal and written English This job offers perks and benefits such as healthcare coverage for your family, buffet lunch at the office, a hybrid work policy, professional development opportunities, and rewards and recognition programs. To learn more about the company, visit their Website and LinkedIn page. As a Sr. AI/ML Engineer specializing in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation, your role will involve designing, developing, and deploying cutting-edge AI solutions to address complex problems. You will collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows, contribute to establishing best practices, and mentor team members in applying LLMs effectively. Additionally, you will work with leadership to identify AI opportunities and deliver solutions following modern software development practices. Key Responsibilities: - Develop, optimize, and deploy applications using LLMs to meet specific business requirements - Utilize prompt engineering techniques to extract desired outputs from generative models - Collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows - Stay informed about the latest advancements in GenAI developments and techniques - Contribute to the establishment of best practices for efficient utilization of generative models - Mentor and guide team members in comprehending and applying LLMs effectively - Identify AI opportunities and promote strategy - Deliver solutions following modern software development practices Qualifications Required: - Bachelor's degree in computer science, IT, AI, or relevant discipline - Minimum of 4 years of experience in Data Science and Machine Learning - Experience in NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution Architecture - Specific experience in GenAI and Conversational AI - Proficiency in Python programming and related AI/ML libraries - Experience with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML solutions - Experience with AI model evaluation, prompt optimization, and implementation of Responsible AI practice - Knowledge of API integration, microservices architecture, and production-grade AI application deployment - Designing GenAI applications integrating advanced models like OpenAIs GPT, BERT, or Open Source LLMs - Deep understandin