Data Scientist

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.

Skills

DL, Deep Learning, ML, Machine Learning, Python