Application Development Engineer - ML

November 12

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Arista Networks

WebsiteLinkedInAll Job Openings

Cloud Computing • Virtualization • Big Data Clusters • High Performance Computing

1001 - 5000 employees

Founded 2004

🏢 Enterprise

📡 Telecommunications

💰 $2.6M Post-IPO Debt on 2015-05

Description

•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

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 •Nice to Have: Working experience in docker and K8s deployments •Working Experience in AWS/GCP •Working experience with Network technologies