Model Development: Build, train, and optimize machine learning models to solve business problems.
Generative AI: Support implementation of Generative AI use cases using frameworks like LangChain, Hugging Face, or similar.
Data Preparation: Clean, preprocess, and transform data for model development and deployment.
Experimentation: Run experiments, evaluate results, and fine-tune models for performance and scalability.
Collaboration: Work closely with senior engineers and stakeholders to understand requirements and deliver solutions in Agile sprints.
Documentation: Maintain structured documentation of code, experiments, and model performance for reproducibility.
Learning & Growth: Stay updated with new tools, frameworks, and best practices in ML/AI and apply them in projects.

Machine Learning Engineer

Job Description