Lead I - Data Science :: AI Engineer-Data Engineer

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

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

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.

Build and deploy AI/ML models, including Deep Learning, NLP, LLMs, and Generative AI applications.

Develop end-to-end ML pipelines covering data preparation, feature engineering, deployment, and monitoring.

Conduct AI experimentation and prototype innovative solutions for business problems.

Develop dashboards and analytical applications to support business decision-making.

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.