Description:
Job Responsibilities:
- Develop and implement AI models and pipelines, leveraging LLMs to address business needs.
- Design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability.
- Use Python for data preprocessing, model development, and experimentation.
- Build and integrate REST APIs using Flask to enable seamless model access for other applications.
- Containerize models and applications with Docker to streamline deployment and improve portability.
- Collaborate with cross-functional teams to understand project goals and create custom AI solutions.
- Stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies.
- Optimize models for accuracy, performance, and inference speed based on real-time data.
Qualifications:
- 7+ years of experience in data science, working with LLMs and Generative AI models across CPG, Retail, Supply Chain etc. e.g. customer churn/retention, route optimization, inventory planning, market mix modelling, etc.
- Hands-on experience deploying AI/ML models on Azure and using cloud-based tools.
- Proficiency in Python, with experience in data manipulation, model building, and evaluation.
- Experience with Dockerization for deploying and managing AI applications.
- Knowledge of Flask to build lightweight APIs for model integration.
- Strong problem-solving skills, with the ability to translate business challenges into AI solutions.
- Good communication skills to work with stakeholders and present technical results effectively.
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