Tata Tele - Data Engineer - AI/ML Models
Posted on: 13/02/2026
Job Description
Reporting To : Head AI CoE
Location : Any
Industry : Experience in Telecom & Cloud Services preferred.
Qualifications :
- Bachelors/Masters in Computer Science, Data Engineering, or related field
- 5+ years in data engineering with exposure to AI/ML workflows
- Expertise in Python, SQL, Spark, ETL frameworks
- Experience with data modeling, warehousing (Snowflake, Redshift), and streaming (Kafka, Flink)
- Familiarity with cloud platforms (Azure, AWS, GCP) and big data ecosystems
- Knowledge of AI data prep (LLMs, embeddings, vector DBs) and ML Ops
- Strong problem-solving, communication, and stakeholder management skills
Job Summary :
Responsible for building scalable data pipelines and architectures to enable AI/ML solutions. Collaborates with Data Scientists and Business stakeholders to deliver high-quality, AI-ready datasets and optimize data workflows for Generative AI and LLM applications.
Key Responsibilities :
- Design and maintain scalable data pipelines for AI/ML models
- Develop and manage data ingestion, transformation, and storage solutions
- Optimize workflows for Generative AI and LLM applications
- Implement streaming data pipelines and ensure performance and cost efficiency
- Ensure data quality, governance, and compliance standards
- Collaborate with AI Engineers and Data Scientists for seamless integration
- Prepare datasets for AI/ML models including embeddings and RAG pipelines
- Document data architectures, processes, and best practices
- Build Proof of Concepts (POCs) within 68 weeks and demonstrate high accuracy (90%+)
- Monitor and maintain deployed models for accuracy, reliability, and scalability
- Document technical designs, use cases, and best practices
Objectives :
- Enable high-quality, AI-ready data pipelines for enterprise AI initiatives
- Accelerate time-to-market for AI solutions through efficient data engineering
- Ensure compliance with data governance and ethical AI standards
Key Result Areas :
- Timely delivery of AI-ready datasets for model development
- Reduction in data processing time and cost
- Data reliability and accuracy for AI/ML models
- Compliance with governance and security standards
- Reducing operational costs by at least 15-20%.
- Achieve 20% reduction in operational cost via AI-driven automation.
Expected Outcomes :
- Rapid development and deployment of AI solutions
- Improved decision-making and business performance through AI-driven insights
- Strong AI governance and minimized risk exposure
Key Competencies :
- Data Architecture & Pipeline Design
- ETL Development & Data Integration
- Big Data Technologies (Spark, Hadoop), Cloud Data Platforms (Azure, GCP)
- Data Modeling & Warehousing
- Performance Optimization & Scalability
- Data Governance & Quality Management
- Applied AI Engineering & Technical Curiosity
- AI-ready Data Preparation (LLMs, RAG, Vector DBs)
- ML Ops & Deployment Support
- Problem Solving & Business Value Orientation
- Cross-functional Collaboration
- Data Storytelling & Influential Communication
- Ethical AI Practices & Regulatory Awareness
- Product Thinking & Agile Delivery
- Stakeholder Management & Change Leadership
- Data-driven Decision Making
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Posted by
Harsh Vardhan
Head of Talent Acquisition at Tata Tele Business Services
Last Active: NA as recruiter has posted this job through third party tool.
45
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1612617
