Experience: 4–8 Years
We are looking for an AI/ML Engineer with strong experience in ETL, Databricks, and RAG (Retrieval-Augmented Generation) to build and deploy AI/ML and data solutions.
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Develop and maintain ETL/ELT data pipelines using Databricks.
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Build and implement RAG-based AI applications.
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Work with LLMs, embeddings, vector databases, and prompt engineering.
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Prepare, clean, transform, and validate data for AI/ML applications.
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Develop ML/AI solutions using Python.
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Integrate AI models with enterprise applications and data platforms.
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Optimize data pipelines and AI solutions for performance and scalability.
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Work with Data Engineering and business teams to deliver AI solutions.
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Strong hands-on experience in Python.
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Strong experience with Databricks and ETL/Data Engineering.
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Hands-on experience with RAG architecture and LLM applications.
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Good knowledge of SQL and data processing.
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Experience with LLMs, embeddings, vector databases, and prompt engineering.
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Understanding of Machine Learning and AI concepts.
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Experience with PySpark / Spark.
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Knowledge of Azure/AWS/GCP.
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Experience with LangChain, LlamaIndex, or similar frameworks.
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Knowledge of MLflow and AI/ML model deployment.
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Experience with REST APIs and cloud-based AI services.
