Arista Networks · 2 days ago
Application Development Engineer - AI
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Responsibilities
Collect, process, and clean large datasets from various structured and unstructured sources.
Develop NLP and LLM-based applications tailored to business needs, such as text analysis, summarization, and conversational agents.
Design, implement, and optimize machine learning and LLM models, including transformers and language generation techniques.
Apply statistical analysis, machine learning, and NLP techniques to solve complex, data-driven business problems.
Select appropriate data representation techniques for LLM models, including embeddings and tokenization.
Perform hyperparameter tuning, model evaluation, and retraining for LLMs and other ML systems as needed.
Develop and maintain data ingestion / parsing processes that support rapid prototyping and deployment of LLM-based solutions.
Visualize and present insights to stakeholders, leveraging data visualization tools.
Troubleshoot, debug, and enhance existing ML and AI systems.
Recommend and implement model improvements based on performance metrics.
Document technical processes, model architectures, and findings for reference and reporting.
Collaborate with cross-functional teams to develop and deploy data-driven, NLP-powered solutions.
Stay current with advancements in LLMs, and machine learning techniques.
Qualification
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Required
Bachelor’s degree in Computer Science, Data Science, or a related field; or equivalent experience.
5-8 years of experience in ML/NLP model development, with exposure to LLM applications.
Experience in deploying models in production environments, monitoring them and improving the performance.
Proficiency in Python and SQL.
Deep understanding of NLP techniques (tokenization, embeddings, transformers) and experience working with LLM frameworks such as Hugging Face Transformers, OpenAI API, or similar.
Solid foundation in data structures, data modeling, and software architecture.
Knowledge of statistical methods, probability, and algorithms, with a focus on text analytics.
Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and familiarity with NLP tools like spaCy or NLTK.
Proficiency in data visualization (Tableau, Power BI, Matplotlib).
Familiarity with Jupyter Notebooks for collaborative research.
Experience in Agile development methodology.
Strong analytical, creative, and team-oriented mindset.
Willingness to learn and adopt new technologies.
Excellent communication skills and a troubleshooting mindset.
Preferred
Knowledge of networking technologies.
Experience in building RAG and agentic AI applications with streamlit, gradio, or similar frameworks.
Experience in containerization and orchestration (Docker, Kubernetes).
Exposure to cloud platforms (AWS, GCP) for ML model deployment.
Company
Arista Networks
Arista Networks is a computer networking firm delivering cloud networking solutions for large data center and computer environments.
H1B Sponsorship
Arista Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (92)
2022 (143)
2021 (160)
2020 (124)
Funding
Current Stage
Public CompanyTotal Funding
$7.4MKey Investors
Summit Partners
2015-05-27Post Ipo Debt· $2.62M
2014-06-06IPO· nyse:ANET
2013-12-21Series Unknown· $4.78M
Recent News
2024-11-12
2024-10-25
TradingView
2024-10-19
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