Noida Uttar Pradesh Ai/ml & generative ai Jobs – 97 Open Jobs Today

AI Data Engineer
Websenor —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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8d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
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Platform Engineer II
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Azure
- DevOps
- English
5d
Senior Database Architect – Azure Cloud Migration
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
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12d
Software Engineer III- Eng ( Java Fullstack)
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
9d
Product Development_O & G Team
Paytm —Noida, Uttar Pradesh
- Master's degree
- Product management
- APIs
Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)
Luxoft —Noida, Uttar Pradesh
- Azure
- DevOps
- English
13d
Module Lead, Data Science (LLM-as-a-judge)
BOLD LLC —Noida, Uttar Pradesh
- Master's degree
- SQL
- Machine learning
- Health insurance
- Paid time off
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Coforge Ltd. —Greater Noida, Uttar Pradesh
- Azure
- Databases
- AWS
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- B.Sc
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AI Data Engineer

Websenor
Noida, Uttar Pradesh

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Job details

Full-time
8 days ago

Qualifications

CI/CD
Azure
Computer Science
Kubernetes
XML
Big data
Spark
UNIX
Git
Master's degree
Databases
SQL
Docker
Bachelor's degree
Machine learning
Distributed systems
Terraform
Continuous integration
Azure Certification
Scrum
Agile
Linux
JSON
Apache
Kafka
Metadata
AI
Python
Information Technology

Full job description

Job Title: AI Data Engineer

Experience:5–8 Years

Employment Type: Full-Time

Position Summary

We are seeking an experienced **AI Data Engineer** to build and maintain scalable data pipelines that power AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in **Apache Spark (Python/PySpark), SQL, Azure Cloud, Airflow, Kafka, and processing unstructured data**. This role involves designing modern data architectures, building ETL/ELT pipelines, managing large-scale structured and unstructured datasets, and enabling AI/ML teams with high-quality, reliable data.

Key Responsibilities

* Design, develop, and optimize scalable data pipelines for AI/ML and Generative AI applications.

* Build batch and real-time data processing solutions using Apache Spark (PySpark) and Kafka.

* Develop ETL/ELT workflows to ingest, transform, and process data from multiple sources.

* Process and manage structured, semi-structured, and unstructured data, including JSON, logs, documents, PDFs, and text data.

* Develop workflows using Apache Airflow for scheduling, orchestration, and monitoring.

* Design and optimize data models for analytics and AI workloads.

* Work with Azure cloud services to build secure, scalable, and high-performance data platforms.

* Collaborate with Data Scientists, ML Engineers, and AI teams to prepare feature-ready datasets.

* Optimize Spark jobs for performance, scalability, and cost efficiency.

* Implement data quality checks, validation, and monitoring processes.

* Ensure data governance, security, and compliance across data platforms.

* Troubleshoot production issues and optimize existing data pipelines.

* Maintain technical documentation, data lineage, and architecture diagrams.

* Stay current with emerging technologies in AI data engineering and big data ecosystems.

Required Technical Skills

* Strong expertise in Python and PySpark.

* Advanced SQL development and query optimization.

* Apache Spark for distributed data processing.

* Azure Cloud services (Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Blob Storage).

* Apache Airflow for workflow orchestration.

* Apache Kafka for real-time data streaming.

* Experience handling unstructured and semi-structured data (JSON, XML, logs, PDFs, text, documents).

* Data ingestion, transformation, and pipeline development.

* Experience with Delta Lake and Parquet file formats.

* Git and version control.

* CI/CD pipelines for data engineering workflows.

* Linux/Unix command-line experience.

### Required Qualifications

* Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

* 5–8 years of experience in Data Engineering or Big Data development.

* Hands-on experience building enterprise-scale data pipelines.

* Experience working with cloud-native data platforms, preferably Microsoft Azure.

* Strong understanding of distributed computing and big data architecture.

* Experience working in Agile/Scrum environments.

Preferred Skills

* Experience with Azure Databricks.

* Knowledge of Generative AI, LLMs, and Retrieval-Augmented Generation (RAG) data pipelines.

* Experience with Vector Databases such as Pinecone, Milvus, Azure AI Search, or FAISS.

* Familiarity with Azure Machine Learning and MLflow.

* Experience with data lakehouse architecture.

* Knowledge of data cataloging, metadata management, and data governance.

* Experience with Docker and Kubernetes.

* Exposure to Infrastructure as Code (Terraform or ARM/Bicep).

* Experience with monitoring tools such as Azure Monitor, Prometheus, or Grafana.

Preferred Certifications

* Microsoft Certified: Azure Data Engineer Associate (DP-203)

* Microsoft Azure Fundamentals (AZ-900)

* Databricks Certified Data Engineer Associate or Professional

* Apache Spark Certification (Preferred)

Key Competencies

* AI Data Engineering

* Apache Spark (PySpark)

* SQL Optimization

* Azure Cloud Data Services

* Workflow Orchestration (Airflow)

* Real-Time Data Streaming (Kafka)

* Unstructured Data Processing

* ETL/ELT Pipeline Development

* Data Modeling

* Performance Optimization

* Problem Solving

* Collaboration and Communication

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

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