Collect, process, and clean large data sets from various sources.
Design machine learning systems
Apply statistical analysis and machine learning techniques to solve complex business problems.
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 to stakeholders using data visualization tools.
Verify and deploy programs and systems
Troubleshoot, debug and upgrade the existing systems
Recommend and execute improvements
Create technical documentation for reference and reporting
Collaborate with cross-functional teams to implement data-driven solutions.
Stay updated with the latest advancements in data science and machine learning.
Study and transform data science prototypes
Bachelor’s Degree in Computer Science from a four-year college or university or related experience and/or training; or equivalent combination of education and experience.
5 to 8 years experience.
Attention to detail
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 to collaborate on research is a plus.
Familiarity with Agile software development methodology
Creative thinker and team player
Should be ready to adopt new technologies
Excellent communication skills
Resourcefulness and troubleshooting aptitude
Nice to Have:
Working experience in docker and K8s deployments
Working Experience in AWS/GCP
Working experience with Network technologies
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