Application Development Engineer - AI

2 days ago

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Arista Networks

WebsiteLinkedInAll Job Openings

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

1001 - 5000

💰 $2.6M Post-IPO Debt on 2015-05

Description

• Arista Networks seeks a Software Developer with expertise in building and implementing advanced software tools, machine learning models, and NLP/LLM solutions. • The Application Development Engineer (ADE) will play a key role in developing ML-driven applications and leveraging LLMs to address complex, data-rich challenges, collaborating closely with cross-functional teams throughout the development lifecycle. • We value a proactive team player with attention to detail, strong problem-solving abilities, and experience with Agile frameworks. • If you're experienced in deploying large language models, NLP applications, and advanced ML methodologies, we’d love to connect. • Work with a team of Data Scientists in design, train and deploy models and partner with business users to train and fine tune before final deployment. • 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.

Requirements

• 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.