Job ID: 61594

5 - 10 Years

1 Opening

Bangalore
Role description

Experience Range: 5–10 Years

Hiring Location: Trivandrum, Kochi, Bangalore, Chennai, Pune, Noida, Gurgaon, Hyderabad

Must-Have Skills

Data Engineering
Strong proficiency in Python for data engineering, analytics, and machine learning
Hands-on experience with Snowflake for cloud data warehousing
Experience developing ETL/ELT pipelines using Azure Data Factory (ADF)
Solid understanding of data modeling, data quality, and scalable data pipeline development
Experience building cloud-native data solutions

AI & Machine Learning
Solid experience in AI/ML, including:
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Large Language Models (LLMs)
Generative AI
Experience building AI-driven solutions for enterprise use cases
Experience with feature engineering, model development, experimentation, deployment, and monitoring

Cloud & DevOps
Azure Cloud (Preferred)
AWS/GCP (acceptable)
CI/CD pipeline implementation for data and ML workflows




Modern DevOps practices

Analytics & Visualization
Dashboard development using Power BI or Tableau
Analytical application development
Business Intelligence reporting

Professional Skills
Strong problem-solving and analytical skills
Experience translating business requirements into technical solutions
Excellent stakeholder communication and cross-functional collaboration

Positive-to-Have Skills
MLOps practices
Model deployment, monitoring, and observability
Telecom domain experience (5G, LTE, VoLTE, SMS, Data Usage, Roaming)
Vector Databases
Embeddings
Retrieval-Augmented Generation (RAG)
Enterprise LLM integration
AI automation frameworks

Key Responsibilities
Build, maintain, and optimize scalable data pipelines and cloud-native data solutions.
Develop ETL/ELT pipelines using Azure Data Factory (ADF).
Design and manage high-performance data solutions using Snowflake.
Build and deploy AI/ML

📌 Lead I Bengaluru (India)
🏢 UST
📍 India