Analyst, Business Intelligence
On-siteChennai, Tamil Nadu, India
Job Summary
Design and develop scalable, cloud-native Python applications while building and maintaining high-performance APIs and backend services. Perform automated data validation, anomaly detection, and business rule engine development to identify KPI deviations and data quality issues. Integrate Large and Small Language Models to generate executive summaries and insights, leveraging prompt engineering and vector databases for enterprise-grade solutions. Contribute to distributed system architecture, implement CI/CD pipelines, and ensure code quality through rigorous testing and observability monitoring. Collaborate with cross-functional teams to deliver AI-powered business solutions and optimize model fine-tuning for edge deployments.
Required Qualifications
- 6–8 years of experience in software development
- Bachelor's degree in computer science, Engineering, or a related field
- Strong proficiency in Python and object-oriented programming
- Experience with SLM deployment on edge or low-latency environments
- RAG (Retrieval-Augmented Generation), or vector databases
- Hands-on experience with Generative AI / SLMs and prompt engineering
- Solid understanding of data structures, algorithms, and design patterns
- Experience with cloud platforms (Azure, AWS, or GCP)
- Experience with CI/CD pipelines, version control (Git), and DevOps practices
- Knowledge of distributed systems fundamentals and microservices architecture
- Experience with testing frameworks such as Pytest
- Strong debugging, problem-solving, and analytical skills
- Leveraged Azure OpenAI, LangChain, and vector search to build enterprise-grade GenAI applications
Desired Qualifications
- Familiarity with Infrastructure as Code (Terraform, Pulumi)
- Experience with LLM fine-tuning
- Experience with observability tools (Prometheus, Grafana, OpenTelemetry, etc.)
- Knowledge of polyglot persistence (SQL & NoSQL databases)
- Familiarity with AI-assisted coding tools like GitHub Copilot
- Exposure to containerization and orchestration (Docker, Kubernetes)
- Prior experience working in Agile/Scrum environments
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