Senior / Principal AI Engineer

Blumberg Capital Company; Pune District; Sur place; INR 1 500 000 - 2 500 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package

Equity options

Résumé du poste

Blumberg Capital Company is looking for a Senior / Principal AI Engineer in Pune District, India. The role involves integrating and optimizing large language models to enhance cybersecurity systems and requires a strong background in ML.

Ideal candidates will have 5+ years of experience in ML/AI and a Bachelor's or Master’s degree in a relevant field. Benefits include a competitive compensation package and a chance to work at the forefront of AI innovation.

Qualifications

• 5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.
• Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.
• Hands-on experience building workflow automation with LLMs and integrating them into applications.

Responsabilités

• Build, fine-tune, and integrate large language models into existing systems.
• Design, implement, and optimize ML models for various tasks.
• Collect, preprocess, and transform structured and unstructured data.

Connaissances

Machine Learning algorithms

Large Language Models (LLMs)

Python programming

NLP Tasks

Workflow Automation

Cloud platforms (AWS, GCP, Azure)

Formation

Bachelor’s or Master’s in Computer Science, AI/ML, Data Science

Outils

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

Description du poste

Senior / Principal AI Engineer

We are seeking a highly skilled and motivated AI Engineer with expertise in large language models (LLMs), AI workflows, and machine learning. This role combines deep technical knowledge in ML/AI with hands‑on experience building intelligent, production‑ready systems that enhance cybersecurity investigation, prioritization, and response. You will work at the intersection of LLM‑driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision‑making.

Key Responsibilities

• LLM Integration & Workflows: Build, fine‑tune, and integrate large language models (LLMs) into existing systems. Develop agentic workflows for investigation, classification, and automated response in cyber security. Apply techniques like retrieval‑augmented generation (RAG), prompt engineering, and fine‑tuning for domain‑specific tasks.
• Machine Learning Development: Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification. Apply both classical forecasting models (AR, ARIMA, SARIMA, ES) and modern architectures (XGBoost, LSTM, DeepAR, N‑BEATS, Temporal Fusion Transformer).
• Data Preparation & Feature Engineering: Collect, preprocess, and transform structured and unstructured data (including logs, text, and access patterns). Engineer features to maximize model interpretability and performance.
• Model Training, Evaluation, and Deployment: Train and evaluate models using rigorous metrics (precision, recall, AUC, F1, etc.). Optimize hyperparameters and fine‑tune LLMs for task‑specific improvements. Deploy ML/LLM models into production at scale with strong monitoring, drift detection, and observability.
• Collaboration & Documentation: Work closely with data scientists, ML engineers, security researchers, and software teams to build end‑to‑end solutions. Document models, workflows, and pipelines for clarity, reproducibility, and knowledge sharing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• 5+ years of experience in ML/AI, including 3+ years deploying production‑grade systems.
• Experience contributing to publications (patents, libraries, or peer‑reviewed papers) is a plus.
• Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.
• Proficiency with LLM frameworks and APIs (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex).
• Hands‑on experience building workflow automation with LLMs and integrating them into applications.
• Solid programming skills in Python (experience with PyTorch, TensorFlow, scikit‑learn).
• Knowledge of NLP tasks (text classification, summarization, embeddings, semantic search).
• Experience with recommendation systems or reinforcement learning is a strong plus.
• Proven track record of deploying ML/AI models into production environments with scalability in mind.
• Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes).
• Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining strategies).
• Strong problem‑solving and analytical mindset.
• Excellent communication and teamwork skills.
• Ability to work in a fast‑paced, evolving startup environment.

Why Join AiStrike

• Shape the future of autonomous cyber defense.
• Work directly with a founding team that helped scale Securonix to a $1B+ outcome.
• Be part of a high‑growth company at the forefront of AI and cybersecurity innovation.
• Competitive compensation package including equity.