About the role
Responsibilities:
- Develop, train, and evaluate machine learning models for real-world applications.
- Apply deep learning and machine learning techniques to solve complex business problems.
- Perform statistical modelling and predictive analytics to identify patterns and generate insights.
- Prepare, process, and analyze datasets for model development.
- Evaluate model performance, optimize algorithms, and improve accuracy.
- Collaborate with cross-functional teams to develop and deploy data-driven solutions.
Requirements:
- 3-5 years of relevant experience as a data scientist or ML scientist.
- Strong hands-on experience in developing, training, and evaluating ML models.
- Good understanding of machine learning and deep learning.
- Strong knowledge of statistical modelling and predictive analytics.
- Ability to analyze complex datasets and translate findings into actionable insights.
- Strong analytical, problem-solving, and communication skills.