Posted on: 02/03/2026
Description :
Responsibilities :
- Conduct exploratory data analysis and feature engineering to extract meaningful insights from large structured & unstructured datasets.
- Evaluate and fine-tune deep learning models, including transformer models, for optimal performance, scalability, and efficiency.
- Stay abreast of the latest advancements in machine learning and deep learning and contribute to the adoption of new technologies within the team.
- Collaborate with data engineers to build and maintain scalable data pipelines for model training and inference.
- Work closely with data scientists and stakeholders to understand project goals and requirements.
- Contribute to the development and maintenance of a robust and scalable machine learning infrastructure.
Requirements :
and LLMs.
- Proficient in Python and ML/DL frameworks with expertise in EDA, feature engineering, and model evaluation.
- Experienced in deploying, fine-tuning, and scaling ML models in production environments.
- Skilled in working with large structured and unstructured datasets and building scalable data pipelines with data engineers.
- Strong collaborator with the ability to translate business problems into effective, real-world ML solutions.
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