Generative AI Architect

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, Google Cloud Platform, or Azure), with Google Cloud Platform and Gemini LLM experience preferred. - Strong programming skills required in Python and experience working with version control systems (Git). - Excellent communication and teamwork skills.