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) :

- 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 preparation, feature engineering, deployment, and monitoring.
- Conduct AI experimentation and prototype cutting-edge solutions for business problems.
- Implement CI/CD pipelines for data engineering and machine learning workflows.
- Collaborate with engineering, analytics, product, and business teams to deliver enterprise data and AI solutions.
- Ensure adherence to data governance, security, quality, and AI best practices.
- Evaluate emerging AI, analytics, and cloud technologies to drive innovation.

Skills : artificial intelligence,cloud computing,data science,generative ai,

About UST : UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 Lead I - Data Science :: Ai Engineer-data Engineer (Bengaluru)
🏢 UST
📍 Bengaluru