Iimportant Note (Please Read Before Applying)
Do NOT apply if :
- You have less than 6 years of AI Senior Data Engineer experience.
- You do not have hands-on Python, Azure, CI / CD, deployment,experience.
- You are on a notice period longer than 15 days.
- You are looking for remote only (role is hybrid inBangalore, Chennai, Hyderabad, Pune
- You are a fresher or from unrelated backgrounds (e.g., Java-only, Testing-only, Support).
✅ Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed.
Job Title : AI Senior Data Engineer
Location : Bangalore, Chennai, Hyderabad, Pune (Hybrid)
Experience : 6-8 Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate Joiners /
About the Company
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Job Description.
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI / CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes.
Responsibilities :
AI Integration : Implement LLM-based workflows, RAG pipelines, and agentic orchestration using frameworks like LangChain, LangGraph, CrewAI, or similar.Data Pipeline Development : Design, develop, and maintain efficient and scalable data pipelines using Python and Azure tech stack.Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.Automation & Deployment : Containerize and deploy solutions using Docker, Kubernetes, and cloud-native architectures (Azure / AWS / GCP).Monitoring & Governance : Ensure data quality, observability, and compliance with security standards.Documentation : Create and maintain comprehensive documentation for data pipelines, processes, and solutions.Troubleshooting : Identify and resolve data-related issues and bottlenecks.Experience : 6-8 years of experience in data engineering, with a strong focus on Python, Azure, CI / CD, and deployment.Technical Skills :
Machine Learning Fundamentals : Model training, feature engineering.Generative AI & LLMs : Fine-tuning GPT / BERT, prompt engineering, RAG pipelines.Data Engineering Expertise : Advanced ETL / ELT, handling structured / unstructured data.