Responsibilities:
• Designing and developing machine learning and deep learning systems
• Select appropriate datasets & implement appropriate ML algorithms
• Training models and tuning their hyperparameters
• Design and implement robust ML/DL data pipelines
• Optimize and extend existing ML libraries and frameworks
• Perform statistical analysis and fine-tuning using test results
Qualifications:
• Bachelors or master’s degree in computer science or related field
• 3 to 8 years of experience in Software development with a strong background on ML/DL
• Expertise in machine learning Python frameworks/libraries (TensorFlow, PyTorch and scikit-learn)
• Deployment of ML model and API development
• Experience on AWS cloud & ML services, knowledge on GoogleCollab is an advantage
• Knowledge of Finance & Risk domains and use of AI, ML in Finance & Risk would be an advantage