Data Scientist

Overview

We are seeking a highly skilled Data Scientist with a strong background in Machine Learning and Deep Learning to join our team. The ideal candidate will have experience applying advanced ML techniques to solve real-world business and customer problems, and will be comfortable working with large, complex datasets.

Key Responsibilities

• Design and implement end-to-end ML pipelines, including data ingestion, cleaning, feature engineering, model training, deployment, and monitoring.
• Develop and experiment with Deep Neural Network architectures for various business use cases.
• Translate ambiguous business requirements into clear technical solutions and communicate insights effectively to both technical and non-technical stakeholders.
• Work with large datasets for acquisition, preprocessing, and analysis.
• Ensure code quality and maintainability by following software engineering best practices.
• Collaborate with cross-functional teams to integrate ML solutions into production systems.
• Utilize CI/CD, version control (Git), and automated testing in ML projects.
  
  
  

• 4+ years of experience applying Machine Learning to real-world business/customer problems.
• Strong programming skills in Python and experience with ML libraries such as scikit-learn, pandas, numpy, TensorFlow, PyTorch, and Keras.
• Solid foundations in Deep Learning with hands-on experience in designing and deploying neural network architectures.
• Experience building robust ML pipelines and deploying models in production environments.
• Strong understanding of software engineering principles for maintainable and testable codebases.
• Ability to communicate technical concepts clearly to diverse audiences.
• Experience with CI/CD, Git, and automated testing in ML workflows.
  
  
  

• Exposure to cloud platforms (AWS, GCP, Azure) for ML deployment.
• Familiarity with MLOps tools and frameworks.