Data Scientist

Role & responsibilities

• Implement and deploy machine learning and deep learning models to solve complex business challenges.
• 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:
• 3+ years of hands-on experience in machine learning with a strong focus on deep learning, transformers, 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.