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
- Robust 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):
- Strong understanding of data modeling, data quality, and scalable data pipeline development
- Experience building cloud-native data solutions

AI & Machine Learning
- Strong 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:
- 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

Good-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.
- Develop end-to-end ML pipelines covering data preparat

📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru