Application Development Engineer (ADE) - ML

• 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

Qualifications

• 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