Job Summary

We are seeking a highly skilled AI Engineer with expertise in High-Performance Computing (HPC), Apache Spark, Databricks, and Generative AI technologies. The ideal candidate will design, develop, and deploy scalable AI/ML solutions, optimize large-scale data processing pipelines, and build cutting-edge GenAI applications leveraging Large Language Models (LLMs).

Key Responsibilities

- Design and develop AI/ML solutions for large-scale enterprise applications.
- Build and optimize distributed data processing pipelines using Apache Spark and Databricks.
- Develop and deploy Generative AI applications using LLMs such as GPT, Llama, Claude, and Mistral.
- Implement Retrieval-Augmented Generation (RAG) frameworks and vector databases.
- Utilize High-Performance Computing (HPC) environments to accelerate AI model training and inference.
- Fine-tune foundation models and optimize model performance for production workloads.
- Develop scalable data engineering and MLOps pipelines.




- Collaborate with Data Scientists, Data Engineers, and Business Stakeholders to deliver AI-driven solutions.
- Monitor, troubleshoot, and optimize AI applications in production environments.

Required SkillsAI & Generative AI

- Generative AI, Large Language Models (LLMs)
- Prompt Engineering
- RAG (Retrieval-Augmented Generation)
- LangChain, LlamaIndex
- Fine-tuning and Model Evaluation
- AI Agents and Multi-Agent Systems

Data Engineering & Big Data

- Apache Spark (PySpark)
- Databricks
- Delta Lake
- Data Modeling and ETL/ELT Pipelines
- SQL and NoSQL Databases

Programming

- Python
- SQL
- REST APIs

High-Performance Computing

- HPC Clusters
- Distributed Computing
- Parallel Processing
- GPU Computing (NVIDIA CUDA preferred)

Cloud & MLOps

- Azure / AWS / GCP
- MLflow
- Docker
- Kubernetes
- CI/CD Pipelines
- Git

📌 GEN AI (Pune)
🏢 Qloron
📍 Pune