AI / ML Engineer - Data Modeling

Key Responsibilities :

• Design, train, and fine-tune machine learning and deep learning models, with a focus on LLMs for conversational and generative tasks.
• Perform feature engineering, data preprocessing, and model evaluation to ensure high accuracy, robustness, and scalability.
• Optimize models for real-world performance and production deployment.
• Work with structured and unstructured datasets, ensuring quality through cleaning, transformation, and augmentation.
• Build pipelines for efficient data collection, preparation, and experimentation.
• Implement and scale ML solutions on cloud platforms such as AWS, GCP, or Azure.
• Collaborate with software engineers to integrate AI models into production-ready applications.
• Develop APIs and services for model consumption by downstream systems and applications.
• Stay updated with the latest advancements in NLP, LLMs, and deep learning frameworks.
• Explore and implement Retrieval-Augmented Generation (RAG) and AI Agent methodologies to enhance system intelligence.
• Experiment with emerging AI tools and frameworks for applied business use cases.

Partner with product managers, data scientists, and business stakeholders to translate

requirements into technical solutions.

Required Qualifications :

collaboration

(ref : hirist.tech)