Sr. Data AI/ML Engineer

Xtagservices; India; Remote; INR 1,500,000 - 2,000,000; Full time

Job summary

A technology solutions company in India seeks an experienced Data Engineer to design and deploy applications using Generative AI and large language models. The ideal candidate has 7+ years of experience in Data Engineering, Machine Learning, and strong SQL skills. Responsibilities include managing data warehousing, optimizing analytics pipelines, and collaborating with stakeholders on high-impact AI/ML solutions.

Qualifications

• 7+ years of hands-on experience in Data Engineering, Machine Learning, and AI model deployment.
• Proven expertise in LLM/GenAI frameworks.
• Strong SQL knowledge and experience with relational and NoSQL databases.

Responsibilities

• Design and deploy applications using Generative AI and LLMs.
• Develop solutions with retrieval-augmented generation and embeddings-based search.
• Manage data warehousing, transformation, and orchestration for scalable analytics.

Skills

Data Engineering

Machine Learning

AI model deployment

SQL

Spark

Python

Azure Databricks

Delta Lake

Fivetran

Tools

LangChain

HuggingFace Transformers

Semantic Kernel

LangGraph

Relational databases

NoSQL databases

Job description

Design and deploy applications using Generative AI and large language models (e.g., GPT-4, Claude, OpenWeight LLMs).

Develop solutions with retrieval-augmented generation (RAG), embeddings-based search, and prompt chaining.

Build and optimize data pipelines using Azure Databricks and Delta Lake.

Work extensively with Spark, Python, SQL, and modern data stack components.

Manage data warehousing, transformation, and orchestration for scalable analytics.

Collaborate with global stakeholders to define and deliver high-impact AI/ML solutions.

Required Skills & Experience:

7+ years of hands‑on experience in Data Engineering, Machine Learning, and AI model deployment.

Proven expertise in LLM/GenAI frameworks such as LangChain, LlamaIndex, HuggingFace Transformers, Semantic Kernel, or LangGraph.

Strong SQL knowledge and experience with relational and NoSQL databases.

Advanced proficiency in Spark, Python, SQL, and Azure Databricks.

In‑depth knowledge of Data Warehousing, Delta Lake, and ETL pipeline optimization.

Working knowledge of Fivetran is a plus.

Excellent communication and stakeholder management skills.

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