About The Role:
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.
Required Skills & Qualifications:
- 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.
Nice to Have:
- Exposure to cloud platforms (AWS, GCP, Azure) for ML deployment.
- Familiarity with MLOps tools and frameworks.
Didn’t find the job appropriate? Report this Job
