Generative AI Architect

Job Summary : We are seeking an experienced Architect with 12 to 15 years of experience to join our team. The ideal candidate will have expertise in Search Engine Optimization, Artificial Intelligence, and other advanced technologies. This role involves working in a hybrid model with a focus on developing innovative solutions using Azure Open AI Service and other platforms. The candidate will contribute to impactful projects that enhance our company's offerings and societal impact. Responsibilities: - Lead the design and development of machine learning models using PySpark and Azure Machine Learning to solve complex business problems. - Oversee the deployment of AI solutions on cloud platforms like Vertex and Azure Open AI Service to ensure scalability and efficiency. - Implement and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models. - Collaborate with data engineers and analysts to integrate knowledge graphs and enhance data connectivity. - Utilize Airflow for orchestrating complex data workflows and ensuring seamless data processing. - Develop AI-enabled chatbots using Dialogflow and OpenCV to improve customer interaction and service delivery. - Conduct statistical analysis using R Statistical Package and Python to validate model performance and accuracy. - Drive the adoption of cloud AutoML tools to automate model training and deployment processes. - Enhance natural language processing capabilities to improve search engine optimization and content relevance. - Mentor junior data scientists and provide guidance on best practices in AI and machine learning. - Collaborate with stakeholders to align AI initiatives with business objectives and drive impactful outcomes. Qualifications: - Extensive experience with PySpark and Azure Machine Learning for developing scalable AI solutions. - Proficiency in Vertex, Azure Open AI Service, and cloud-based AI deployment. - Expertise in ML Ops and data workflow orchestration using Airflow. - Knowledge of knowledge graphs and their application in data integration. - Experience with AI-enabled chatbots and natural language processing. - Proficiency in deep learning frameworks such as TensorFlow and PyTorch. - Strong programming skills in Python and R Statistical Package. - Proven experience as a Data Scientist or Machine Learning Engineer, with strong experience with Gen AI based solutions in production. - Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, etc. - Experience working with React.js to develop User Interfaces. - Familiarity with cloud platforms (AWS, GCP, or Azure), with GCP and Gemini LLM experience preferred. - Strong programming skills required in Python and experience working with version control systems (Git). - Excellent communication and teamwork skills.