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DataOps Engineer; Freelancer

Job in 600001, Chennai, Tamil Nadu, India
Listing for: deccan ai experts
Contract position
Listed on 2026-06-16
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Analyst
Job Description & How to Apply Below
Position: DataOps Engineer (Freelancer)
About Us
Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems.

About the Role
We are looking for a Data Ops Engineer (Freelancer) to support advanced AI evaluation initiatives focused on data infrastructure, pipeline automation, workflow orchestration, and scalable analytics systems.
In this role, you will work with AI-generated outputs related to ETL workflows, data integration, pipeline monitoring, cloud data systems, and automation processes, helping improve how AI models understand and solve real-world data engineering and operational challenges.
Your expertise will contribute to improving AI systems used for data reliability, analytics automation, and scalable AI-driven workflows.

Responsibilities
Create deliverables addressing common requests within your professional domain
Annotate and evaluate AI-generated responses related to Data Ops workflows and data infrastructure
Review peer-developed deliverables to improve AI research quality and consistency
Assess AI outputs for pipeline reliability, scalability, automation quality, and operational efficiency
Identify workflow bottlenecks, data inconsistencies, integration issues, or monitoring gaps in AI-generated solutions and provide structured feedback
Support workflows involving ETL pipelines, orchestration systems, data governance, and cloud-based analytics platforms
Contribute domain expertise to improve AI systems focused on data operations and infrastructure automation

Requirements
Background in Data Engineering, Data Ops, Dev Ops, Computer Science, or related fields
Strong understanding of ETL/ELT workflows, data pipelines, orchestration tools, and cloud data platforms
Familiarity with SQL, Python, Apache Airflow, dbt, Spark, Kafka, or similar technologies is preferred

Experience with AWS, Azure, GCP, or modern cloud-based data ecosystems is a plus
Ability to critically evaluate data workflows, automation systems, and operational architectures
Strong analytical and troubleshooting skills
Ability to work independently in a remote, fast-paced environment

Why Join Us
Competitive hourly pay: ₹1800 – ₹4500/hour
Fully remote with flexible working hours
Opportunity to contribute to cutting-edge AI and data infrastructure research
Exposure to scalable analytics systems, automation workflows, and modern Data Ops practices
Flexible project-based opportunities with global teams
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