Compunnel
Job Summary
We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML-powered data platforms.
This role focuses on building scalable solutions using Generative AI, Large Language Models (LLMs), and big data technologies, with a strong emphasis on innovation and production-grade architecture.
Key Responsibilities Design and develop AI/ML applications, including Generative AI and LLM-based solutions. Fine-tune and deploy LLMs integrated with vector databases such as FAISS, Pinecone, and ChromaDB. Lead end-to-end architecture and implementation of scalable AI/ML systems using Java Spark and PySpark. Drive innovation in AI-based systems and data processing pipelines. Develop Retrieval-Augmented Generation (RAG) applications for enhanced contextual intelligence. Collaborate with cross-functional teams to deliver production-ready AI solutions. Required Qualifications
Proven experience in Machine Learning, Deep Learning, NLP, and Generative AI. Strong hands-on expertise in LLMs and RAG applications. Proficiency in Java Spark and PySpark for big data engineering. Experience designing and deploying AI/ML solutions in cloud-native environments. Sound knowledge of Gen AI concepts and applications. Ability to lead large-scale AI/ML initiatives from architecture to production. Preferred Qualifications
Experience with vector databases such as FAISS, Pinecone, or ChromaDB. Exposure to scalable data platforms and enterprise-grade AI systems.
Education:
Bachelors Degree
We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML-powered data platforms.
This role focuses on building scalable solutions using Generative AI, Large Language Models (LLMs), and big data technologies, with a strong emphasis on innovation and production-grade architecture.
Key Responsibilities Design and develop AI/ML applications, including Generative AI and LLM-based solutions. Fine-tune and deploy LLMs integrated with vector databases such as FAISS, Pinecone, and ChromaDB. Lead end-to-end architecture and implementation of scalable AI/ML systems using Java Spark and PySpark. Drive innovation in AI-based systems and data processing pipelines. Develop Retrieval-Augmented Generation (RAG) applications for enhanced contextual intelligence. Collaborate with cross-functional teams to deliver production-ready AI solutions. Required Qualifications
Proven experience in Machine Learning, Deep Learning, NLP, and Generative AI. Strong hands-on expertise in LLMs and RAG applications. Proficiency in Java Spark and PySpark for big data engineering. Experience designing and deploying AI/ML solutions in cloud-native environments. Sound knowledge of Gen AI concepts and applications. Ability to lead large-scale AI/ML initiatives from architecture to production. Preferred Qualifications
Experience with vector databases such as FAISS, Pinecone, or ChromaDB. Exposure to scalable data platforms and enterprise-grade AI systems.
Education:
Bachelors Degree