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) settings 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

📌 Genai Developer Navi Mumbai
🏢 Qloron Technology
📍 Navi Mumbai