Data Scientist

As a Senior AI/ML Engineer specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), you will be responsible for designing, developing, and deploying cutting-edge AI solutions to solve complex problems effectively. Your role will involve collaborating with cross-functional teams, staying updated on the latest GenAI advancements, establishing best practices for generative models' efficient utilization, mentoring team members, and identifying AI opportunities aligned with the company's strategy. You will also be expected to deliver solutions following modern software development practices. Key Responsibilities: - Develop, optimize, and deploy applications using LLMs to meet specific business requirements and use cases - Utilize prompt engineering techniques to extract desired outputs from generative models efficiently - Integrate GenAI-driven solutions into business workflows - Stay informed about the latest advancements in GenAI developments and techniques - Contribute to establishing best practices for utilizing generative models efficiently - Mentor and guide team members in comprehending and applying LLMs effectively - Identify AI opportunities in collaboration with leadership and stakeholders - Deliver solutions following modern software development practices Qualifications Required: - Bachelor's degree in computer science, IT, AI, or a relevant discipline - Minimum of 4 years of experience in Data Science and Machine Learning, with a preference for NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution architecture - Specific experience in GenAI and Conversational AI using LLMs and frameworks like Lang chain, Llama Index, etc. - Proficiency in Python programming and related AI/ML libraries - Experience with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML solutions - Knowledge of API integration, microservices architecture, and production-grade AI application deployment - Deep understanding of RAG architecture and its implementation - Ability to write high-quality, maintainable code and work collaboratively - Knowledge of Agile software development lifecycle and experience applying change control procedures - Strong analytical skills for problem-solving and defining technical solutions - Excellent communication skills in both verbal and written English About the Company: The company provides a range of perks and benefits such as healthcare coverage for you and your family, daily buffet lunch at the office, a hybrid work policy, professional development opportunities, and rewards and recognition programs to celebrate achievements and contributions. If you want to learn more about the company, you can visit their Website and Linkedin page. As a Senior AI/ML Engineer specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), you will be responsible for designing, developing, and deploying cutting-edge AI solutions to solve complex problems effectively. Your role will involve collaborating with cross-functional teams, staying updated on the latest GenAI advancements, establishing best practices for generative models' efficient utilization, mentoring team members, and identifying AI opportunities aligned with the company's strategy. You will also be expected to deliver solutions following modern software development practices. Key Responsibilities: - Develop, optimize, and deploy applications using LLMs to meet specific business requirements and use cases - Utilize prompt engineering techniques to extract desired outputs from generative models efficiently - Integrate GenAI-driven solutions into business workflows - Stay informed about the latest advancements in GenAI developments and techniques - Contribute to establishing best practices for utilizing generative models efficiently - Mentor and guide team members in comprehending and applying LLMs effectively - Identify AI opportunities in collaboration with leadership and stakeholders - Deliver solutions following modern software development practices Qualifications Required: - Bachelor's degree in computer science, IT, AI, or a relevant discipline - Minimum of 4 years of experience in Data Science and Machine Learning, with a preference for NLP, Generative AI, LLMs, MLOps/LLMOps, Optimization techniques, and AI solution architecture - Specific experience in GenAI and Conversational AI using LLMs and frameworks like Lang chain, Llama Index, etc. - Proficiency in Python programming and related AI/ML libraries - Experience with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML solutions - Knowledge of API integration, microservices architecture, and production-grade AI application deployment - Deep understanding of RAG architecture and its implementation - Ability to write high-quality, maintainable code and work collaboratively - Knowledge of Agile software development lifecycle and experience applying