Senior Artificial Intelligence Engineer

1 day ago

Pune, Maharashtra, India ElementSkill Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Description :

We are looking for a Senior AI Engineer to design, develop, and deploy AI/ML models specifically for cybersecurity applications.

You will work with traditional machine learning techniques and modern generative AI (LLMs) to convert complex data into actionable threat intelligence and robust security measures.

Key Responsibilities :

- Design, train, and deploy AI/ML models for tasks such as threat classification, anomaly detection, and predictive analytics.

- Build production-ready pipelines for data processing, model training, and inference.

- Fine-tune and leverage Large Language Models (LLMs) like BERT, GPT, and Llama for tasks such as automated threat intelligence, log parsing, and incident response chatbots.

- Use frameworks like Hugging Face, Lang Chain, or Llama Index for generative AI applications.

- Detect and analyze spam, phishing, malware, and anomalous network or user behavior using ML techniques.

- Integrate AI models with existing security platforms (e.g., SIEM, EDR) for real-time monitoring and automated response.

- Benchmark and optimize model performance for accuracy, efficiency, and cost-effectiveness.

- Stay updated with latest AI and cybersecurity trends, including adversarial AI and LLM-specific risks, and develop countermeasures.

- Collaborate with data scientists, security analysts, and software engineers for seamless integration and knowledge sharing.

- Maintain clear documentation of all code, models, and processes for reproducibility.

Required Qualifications :

- Experience: 3 years in AI/ML engineering, including at least 2 years in NLP or Generative AI.

- Programming: Strong in Python and libraries like PyTorch/TensorFlow, Hugging Face Transformers, scikit-learn, and imbalanced-learn.

- LLMs & NLP: Hands-on experience with BERT, Llama, and LangChain. Knowledge of prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).

- ML Skills: Ability to handle imbalanced datasets, evaluate models (precision, recall, F1-score), and use techniques like weighted loss functions or ensemble methods.

- Deployment & MLOps: Experience with Docker, FastAPI/Flask, and cloud platforms like AWS SageMaker, Azure AI, or GCP Vertex AI.

- Analytical Skills: Strong problem-solving abilities to diagnose performance issues and deliver production-ready solutions.

Preferred Skills :

- Background in cybersecurity, threat intelligence, or malware analysis.

- Familiarity with SIEM, EDR, or other security tools.

- Knowledge of adversarial ML or reverse engineering tools (e.g., Ghidra).

- Portfolio or GitHub showcasing practical AI/ML projects.

What We Offer :

- Opportunity to build real-world AI solutions protecting digital ecosystems.

- Work in a collaborative, innovative, and impact-driven environment.

- Competitive salary and benefits.

- Flexible work options with growth and professional development opportunities.

- Hands-on experience with ML, LLMs, and cybersecurity projects.

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