Technical Architect Data Science

Role and ResponsibilitiesSolution Design: Architect the development of AI solutions from conceptualization to deployment.Leadership: Lead the development, deployment, and optimization of machine learning (ML), natural language processing (NLP) models, and LLM/GenAI solutions.Pipeline Development: Develop and maintain Python-based ML pipelines and manage associated databases.Model Deployment: Deploy AI models on Azure/AWS, ensuring optimal performance and scalability.Mentorship: Stay updated on advancements in ML, NLP, and GenAI, and mentor team members to enhance their skills and knowledge.Best Practices: Implement LLMOps best practices for efficient management of the model lifecycle.Skillset RequirementsExperience: 8-11 years of relevant experience in data science.Programming: Minimum of 8 years of experience in Python programming.Machine Learning/NLP: At least 8 years of experience in machine learning and natural language processing.LLM and GenAI: A minimum of 2 years of experience with large language models (LLMs) and generative AI (GenAI)Agentic AI: A minimum of 1 year of experience with Agentic AI.Database Management: At least 8 years of experience with any database.Cloud Deployment: 4+ years of knowledge in deploying ML models/Python applications on Azure or AWS.LLMOps: Familiarity with LLMOps is mandatory. Role and ResponsibilitiesSolution Design: Architect the development of AI solutions from conceptualization to deployment.Leadership: Lead the development, deployment, and optimization of machine learning (ML), natural language processing (NLP) models, and LLM/GenAI solutions.Pipeline Development: Develop and maintain Python-based ML pipelines and manage associated databases.Model Deployment: Deploy AI models on Azure/AWS, ensuring optimal performance and scalability.Mentorship: Stay updated on advancements in ML, NLP, and GenAI, and mentor team members to enhance their skills and knowledge.Best Practices: Implement LLMOps best practices for efficient management of the model lifecycle.Skillset RequirementsExperience: 8-11 years of relevant experience in data science.Programming: Minimum of 8 years of experience in Python programming.Machine Learning/NLP: At least 8 years of experience in machine learning and natural language processing.LLM and GenAI: A minimum of 2 years of experience with large language models (LLMs) and generative AI (GenAI)Agentic AI: A minimum of 1 year of experience with Agentic AI.Database Management: At least 8 years of experience with any database.Cloud Deployment: 4+ years of knowledge in deploying ML models/Python applications on Azure or AWS.LLMOps: Familiarity with LLMOps is mandatory.