About the role
Responsibilities:
- Design, develop, train, and optimize machine learning and deep learning models.
- Build and implement predictive models to solve complex real-world problems.
- Apply statistical modelling techniques and advanced analytical methods to derive meaningful insights.
- Perform model evaluation, validation, performance optimization, and experimentation.
- Work with structured and unstructured datasets for model development and analysis.
- Identify suitable ML algorithms and techniques based on business and problem requirements.
- Collaborate with cross-functional teams to develop and deploy effective ML solutions.
Requirements:
- Strong hands-on experience in machine learning and deep learning.
- Solid understanding of statistical modelling and predictive analytics.
- Practical experience in model development, training, testing, and evaluation.
- Strong programming skills in Python.
- Experience with ML/DL frameworks such as PyTorch, TensorFlow, or Keras.
- Strong understanding of ML algorithms, model optimization, and statistical techniques.
- Good problem-solving and analytical skills.