Core Responsibilities:
Transform ambiguous business requirements into well-defined AI/ML solutions
Integrate and optimize Large Language Models (LLMs) for traditional ML classification tasks
Architect and maintain data pipelines in SQL Server environments (nice to have not a requirement)
Collaborate with stakeholders to identify and incorporate new data sources as model features
Required Technical Skills
Expert-level proficiency with Azure’s AI and ML services, including the Azure GenAI Stack
Strong experience with SQL Server and data engineering principles
Demonstrated ability to design, deploy, and maintain production ML models
Expertise in feature engineering and data pipeline development
Proficiency in implementing and fine-tuning LLMs for specific business applications
Required Experience
Proven track record of delivering AI solutions from concept to production
Experience working with cross-functional teams to gather and refine requirements
Strong background in data engineering and feature development
Demonstrated ability to work with ambiguous requirements and create structured solutions
Experience integrating multiple data sources into ML pipelines
Desired Qualities
Strong problem-solving abilities with a systematic approach
Excellent communication skills to explain complex technical concepts
Self-motivated with the ability to work independently
Innovative mindset for applying cutting-edge AI technologies to business problems
Any Graduate