As our lead AI/ML Engineer, you will design, build, and scale the intelligence layer powering our next-generation security products.
Design and deploy RAG pipelines and LLM applications for security telemetry
Train, fine-tune, and evaluate ML/DL models for anomaly detection and classification
Implement guardrails and evaluation frameworks for model outputs
Build and maintain ML pipelines from preprocessing to production monitoring
From the employer’s posting
As our lead AI/ML Engineer, you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations.
Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications
Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification
Implement strict guardrails, evaluation frameworks, and safety alignment techniques
Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production)
Open 3 monthsWe first saw this posting 109 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jul 21, 2026109 days ago
Recorded sightings
78
Last seen by us
Nov 7, 2026
Jul 21, 2026today
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How this job compares
Time since we first saw it
Day 109
771
Up longer than most. Similar jobs usually come down between day 7 and day 71.
Well past SonicWall’s usual: its jobs come down by about day 35.
From 4,682 similar postings that came down, and 5 of SonicWall’s. Coming down is not always a hire.
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Azure
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PyTorch
TensorFlow
Where the posting names them
- Experience: 6+ years of professional experience deploying machine learning models into production, with 1+ years focused on LLMs and generative AI. Experience in the cybersecurity domain is highly valued.
- AI/NLP Stack: Deep expertise in Python, PyTorch/TensorFlow, and frameworks like LangChain, LlamaIndex, or Hugging Face.
- Data & Vector Systems: Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Milvus) and semantic search strategies over complex, technical datasets.
- Data & Vector Systems: Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Milvus) and semantic search strategies over complex, technical datasets.
- Production Engineering: Solid understanding of API design, containerization (Docker/Kubernetes), and cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
- Mindset: A builder's mentality—comfortable setting technical direction, navigating ambiguity, and executing fast in a small team.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities.
As our lead AI/ML Engineer, you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations.
Key Responsibilities
Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs.
Model Development & Tuning: Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets.
Ensure AI Trust & Alignment: Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate.
Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborating closely with Data and Product Engineers to ensure low-latency, secure inferences.
Required Experience & Skills
Experience:6+ years of professional experience deploying machine learning models into production, with 1+ years focused on LLMs and generative AI. Experience in the cybersecurity domain is highly valued.
AI/NLP Stack: Deep expertise in Python, PyTorch/TensorFlow, and frameworks like LangChain, LlamaIndex, or Hugging Face.
Data & Vector Systems: Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Milvus) and semantic search strategies over complex, technical datasets.
Production Engineering: Solid understanding of API design, containerization (Docker/Kubernetes), and cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).
Mindset: A builder's mentality—comfortable setting technical direction, navigating ambiguity, and executing fast in a small team.
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SonicWall is an equal opportunity employer.
We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries.
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Location & working pattern
Pune, Maharashtra, India
For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities.
For more information, visit www.sonicwall.com or follow us on X, LinkedIn, Facebook, and Instagram.
More source context
#LI-Pune
#LI-Hybrid
SonicWall is an equal opportunity employer.
Work authorization
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