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 creative 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