Data Scientist
2 weeks ago
Data Scientist (India)
**COMPANY DESCRIPTION**:
**RESPONSIBILITIES**:
- Architect, develop, and deploy state-of-the-art predictive and generative AI models for cybersecurity and fraud detection
- Design and implement end-to-end LLM-based pipelines—including prompt engineering, embedding generation, vector search, and retrieval-augmented generation.
- Design and deploy autonomous AI agents that orchestrate end-to-end workflows-automating threat hunting, incident triage etc. using custom agent architecture.
- Build robust data-processing workflows that handle high-velocity streaming and batch data (billions of daily events)
- Select and tune appropriate supervised and unsupervised algorithms (e.g., classification, clustering, anomaly detection) to address diverse security challenges
- Collaborate with offshore and onshore engineering teams to integrate models into production systems and APIs
- Rapidly iterate with product managers and stakeholders on prototypes, proofs-of-concept, and interactive dashboards
- Translate complex analyses into clear data visualizations and executive summaries using BI and front-end visualization tools
- Mentor junior data scientists and share best practices in model development, evaluation, and deployment
**RESPONSIBILITIES**:
- MSMS or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field
- 5+ years of hands-on experience in applied analytics, predictive modeling, or machine learning—ideally within a cybersecurity or financial-fraud context
- Proven track record with both classical ML (e.g., SVMs, decision trees, regression, clustering) and modern deep-learning/LLM frameworks
- Practical experience designing and deploying LLM-driven solutions (prompt design, fine-tuning, embeddings, vector stores, RAG, MCP Server). Knowledge of finetuning LLM models and MCP Server is a plus.
- Proven experience designing, developing, and deploying autonomous AI agents and orchestration workflows (e.g., with LangChain or similar frameworks).
- Strong programming skills in Python (including popular ML libraries), plus experience with UNIX scripting (Bash, Perl)
- Proven expertise in MySQL, including advanced query authoring, performance tuning (indexes, EXPLAIN plans), stored-procedure development, and database schema design.
- Familiarity with big-data ecosystems (e.g., Spark, Hadoop) and multiple database technologies
- Solid understanding of reinforcement-learning concepts is a plus
- Excellent problem-solving skills, initiative, and ability to juggle multiple projects in a fast-paced environment
- Exceptional oral and written communication skills, with the ability to convey technical concepts to non-technical audiences
**LOCATION/TRAVEL**:
Position is based in India.
**SUBMISSION INSTRUCTIONS**:
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