198 applicants

Company

Arista Networks · 2 days ago

Application Development Engineer - AI

Nashua, NH

Full-time

Remote

Mid, Senior Level

5+ years exp

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Cloud ComputingData Center Automation

Culture & Values

H1B Sponsor Likely

Hiring Manager

Sushma Purushotham

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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningNatural Language ProcessingLarge Language ModelsPythonSQLData VisualizationAgile DevelopmentTensorFlowPyTorchScikit-learnHugging Face TransformersOpenAI APISpaCyNLTKDockerKubernetesAWSGCPJupyter NotebooksStatistical MethodsData StructuresData ModelingSoftware Architecture

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

Glassdoor

4.1

Arista Networks is a computer networking firm delivering cloud networking solutions for large data center and computer environments.

Founded in 2004

Santa Clara, California, USA

1,001-5,000 employees

http://www.arista.com

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

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Trends of Total Sponsorships

2023 (92)

2022 (143)

2021 (160)

2020 (124)