Application Development Engineer (ADE) - ML

Summary

Join Arista Networks as a Software Developer to build and implement software tools and Machine Learning models, working with other Developers throughout the software development life cycle.

Requirements

• 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 experienced
• 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

Responsibilities

• 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

Preferred Qualifications

• Working experience in docker and K8s deployments
• Working Experience in AWS/GCP
• Working experience with Network technologies