Website:
publicisglobaldelivery.com
Job details:
🚀 Hiring | Gen-AI Data Engineering Specialist
đź“Ť Location: Bangalore / Mumbai / Gurugram / Hyderabad / Pune
đź’Ľ Experience: 8-11 Years
🏢 Work Model: Hybrid (2 Days Office)
Job Description
We are looking for an experienced Gen-AI Data Engineering Specialist with strong expertise in building scalable data platforms and AI-ready data pipelines supporting LLMs, RAG systems, and enterprise Generative AI applications.
The ideal candidate should have deep experience in modern data engineering, cloud-native architectures, vector databases, and distributed data processing systems. This role will work closely with ML Engineers, AI teams, and Data Scientists to build high-performance data foundations powering next-generation AI platforms.
Key Responsibilities
- Design and develop scalable data pipelines for AI and Generative AI workloads
- Build and optimize AI-ready data platforms supporting LLM and RAG use cases
- Manage embeddings, vectorized datasets, and vector database integrations
- Develop cloud-native batch and near real-time data processing systems
- Ensure data quality, reliability, scalability, and performance across platforms
- Collaborate with AI/ML teams to translate AI requirements into robust data solutions
- Drive data pipeline automation, orchestration, and CI/CD initiatives
- Optimize distributed data systems for cost, efficiency, and scalability
Mandatory Skills
- Strong hands-on experience with Python and SQL
- Expertise in Apache Spark and distributed data processing
- Experience with orchestration tools such as Airflow, Prefect, or Azure Data Factory
- Strong experience with cloud platforms such as Azure, AWS, or GCP
- Experience supporting AI/ML workloads, RAG pipelines, and LLM data systems
- Hands-on experience with vector databases such as Pinecone, Milvus, or Chroma
- Strong understanding of big data and streaming technologies like Kafka and Spark
- Experience implementing CI/CD for data engineering workflows
- Strong debugging, optimization, and troubleshooting skills
Good to Have
- Exposure to Hugging Face, PyTorch, or TensorFlow
- Experience with Docker and Kubernetes
- Familiarity with real-time data architectures
- Exposure to enterprise AI and Generative AI platforms
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 5–8 years of experience in Data Engineering or AI Data Platforms
- Proven experience working on large-scale cloud and distributed data systems
- Experience collaborating with AI/ML engineering teams is highly preferred
Click on Apply to know more.