Position : Technical Architect
Department : Software - Data Science
Location : Airoli, Navi Mumbai
Work Mode : Work from Office with flexibility of hybrid as per business requirement
Role And Responsibilities
- Solution 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 Requirements
- Experience : 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 : 3+ years of knowledge in deploying ML models/Python applications on Azure or AWS.
- LLMOps : Familiarity with LLMOps is mandatory.
(ref:hirist.tech)
