Technical Lead Data Science

As a Technical Lead in Data Science, you will play a crucial role in designing, developing, and maintaining Python-based applications with a focus on ML and AI. Your responsibilities will include building and optimizing ML/NLP models, integrating them into production systems, and implementing LLMs and GenAI solutions for business applications. Additionally, you will design and manage database structures to support ML applications and data pipelines, deploy and monitor ML models in cloud environments (AWS/Azure), and collaborate with cross-functional teams to deliver effective solutions. Your role will also involve writing clean, efficient, and well-documented code, participating in code reviews, providing feedback, troubleshooting and resolving technical issues in production, and staying updated with emerging trends in ML, NLP, and GenAI. Key Responsibilities: - Design, develop, and maintain Python-based applications focused on ML and AI - Build and optimize ML/NLP models and integrate them into production systems - Implement and fine-tune LLMs and GenAI solutions for business applications - Design and manage database structures to support ML applications and data pipelines - Deploy and monitor ML models in cloud environments (AWS/Azure) - Collaborate with cross-functional teams to deliver effective solutions - Write clean, efficient, and well-documented code - Participate in code reviews and provide feedback - Troubleshoot and resolve technical issues in production - Stay updated with emerging trends in ML, NLP, and GenAI Qualifications Required: - 5+ years of experience as a Data Scientist - Minimum 5 years of experience in Python programming - At least 2.5+ years of experience in ML & NLP - Minimum 2.5 years of experience with LLMs and generative AI (GenAI) - At least 2.5 years of experience with any database - 2+ years of knowledge in deploying ML models/Python applications on Azure or AWS - Familiarity with LLMOps is a plus,