Ksolves - Senior Data Scientist - Machine Learning

Job Description : Responsibilities :

• Model Lifecycle Management : Design, train, and optimize machine learning models. Perform exploratory data analysis (EDA) and data preprocessing, and work efficiently with large datasets.
• MLOps Pipeline Automation : Build, implement, and maintain automated MLOps pipelines for model retraining and monitoring. Streamline the entire model development and deployment lifecycle for new clients with minimal human intervention.
• Cloud Deployment : Deploy scalable and reliable models into production using AWS services like Amazon SageMaker, Lambda, and EC2. Utilize Amazon SageMaker Studio Notebooks for developing and deploying models.
• Research & Experimentation : Independently execute end-to-end proofs of concepts (POCs) even in ambiguous scenarios.
• Explore and evaluate new algorithms, tools, and techniques to improve model performance and address business challenges.
• Collaboration : Work closely with data scientists, UI / backend engineers, and other stakeholders to ensure seamless integration and customer satisfaction.

Requirements :

Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field from a reputed college.

Experience : 2- 3 years of hands-on experience in data science or machine learning.

Soft Skills : Excellent problem-solving skills to thrive in a fast-paced environment and strong communication abilities to present complex findings to both technical and non-technical audiences.

(ref : hirist.tech)