Responsibilities:
- Assist in data preprocessing, cleaning, and exploration.
- Implement machine learning algorithms and techniques.
- Experiment with different models and parameters to optimize performance.
- Collaborate with data scientists to understand and translate business requirements into technical solutions.
- Develop and maintain machine learning pipelines.
- Stay updated with the latest advancements in machine learning.
Required Technical and Professional Expertise
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Strong programming skills in Python and proficiency in relevant libraries (NumPy, Pandas, Scikit-learn).
- 1 year of experience at least.
- Understanding of machine learning concepts and algorithms (linear regression, logistic regression, decision trees, random forests, etc.).
- Ability to work with large datasets and perform data analysis.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- A passion for learning and exploring new technologies.
Preferred Technical and Professional Expertise
- Experience with deep learning frameworks (TensorFlow, PyTorch).
- Knowledge of cloud platforms (AWS, Azure).
- Exposure to big data technologies (Hadoop, Spark).
- Participation in machine learning competitions or projects.