2 months ago
Pune, IndiaStaff+
Responsibilities
- Architect and deploy RAG pipelines, agentic workflows, and LLM applications for security telemetry and unstructured logs.
- Train, fine-tune, and evaluate ML and deep learning models for pattern matching, anomaly detection, and classification.
- Implement guardrails, evaluation frameworks, and safety alignment techniques for deterministic, safe, and accurate model outputs.
- Build and maintain scalable MLOps pipelines from data preprocessing through production model monitoring.
- Collaborate with Data and Product Engineers to deliver secure, low-latency inference systems.
- Set technical direction and execute AI initiatives in a small team.
Requirements
- 6+ years of professional experience deploying machine learning models into production.
- 1+ year of experience focused on LLMs and generative AI.
- Deep expertise in Python, PyTorch or TensorFlow, and frameworks such as LangChain, LlamaIndex, or Hugging Face.
- Hands-on experience with vector databases including Pinecone, Qdrant, or Milvus and semantic search over complex technical datasets.
- Understanding of API design, Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.
- Cybersecurity domain experience is highly valued.
- Comfort setting technical direction, navigating ambiguity, and executing quickly in a small-team environment.
Benefits
- Hybrid work arrangement in Pune.
- Equal opportunity employment and a commitment to a diverse workplace.
Tech Stack
Categories
About SonicWall
SonicWall builds network and cloud security products for SMBs, enterprises, and the public sector, including next‑gen firewalls, secure remote access, email and endpoint security, and threat intelligence services. The company sells hardware plus subscription-based security services, primarily through a global channel of MSPs/MSSPs and resellers. Founded in 1991 and headquartered in Milpitas, California, SonicWall is privately held under Seahawk Holdings and was formerly part of Dell.