Design machine learning systemsApply statistical analysis and machine learning techniques to solve complex business problems.Develop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryVisualize data and present findings to stakeholders using data visualization tools.Verify and deploy programs and systemsTroubleshoot, debug and upgrade the existing systemsRecommend and execute improvementsCreate technical documentation for reference and reportingCollaborate 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 prototypesQualifications
- Bachelors 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
Skills Required
Python, Tensorflow, Pytorch, Tableau, Power Bi