Key skills
PythonPyTorchScikit-LearnSDLCSQLTableauTensorflowMachine LearningTensorFlowscikit-learnJupyterBIPower BIStatistical AnalysisAgile
About this role
Role Overview
- Build and implement software tools and Machine Learning models
- Work with other Developers throughout the software development life cycle
- Collect, process, and clean large data sets from various sources
- Design machine learning systems
- Apply statistical analysis and machine learning techniques
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Visualize data and present findings
- Verify and deploy programs and systems
- Troubleshoot, debug and upgrade existing systems
- Recommend and execute improvements
- Create technical documentation for reference and reporting
- Collaborate with cross-functional teams
- Stay updated with the latest advancements in data science and machine learning
Requirements
- Bachelor’s Degree in Computer Science or related experience
- 5 to 8 years experience
- Knowledge of Python and SQL
- Understanding of data structures, data modelling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib
- Experience in using Jupyter notebooks is a plus
- Familiarity with Agile software development methodology
Tech Stack
- Python
- PyTorch
- Scikit-Learn
- SDLC
- SQL
- Tableau
- Tensorflow
Benefits
- Flexible work arrangements
- Professional development opportunities