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  3. ML Engineer II
UST
UST

ML Engineer II

Karnataka
13+ years exp
Day Shift
Posted 18 Sept 2026
3 views
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Job Description

Role description

Who we are

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.

Summary

UST is looking for a

Cloud Data Engineer

with strong experience in

Data Engineering, Cloud Technologies, Python, Spark, SQL, and AWS

. The ideal candidate will have hands-on experience designing and developing scalable data pipelines and cloud-based data solutions, along with exposure to

Generative AI, Agentic AI, LLMs, RAG, FastAPI, and REST APIs

.

The candidate should have strong programming skills and experience working with Big Data technologies, cloud platforms, databases, APIs, and microservices.

The Opportunity

We are seeking a Cloud Data Engineer responsible for designing, implementing, and maintaining scalable data solutions on cloud platforms. The role will involve hands-on development, programming, testing, validation, and implementation of Big Data Engineering pipelines and cloud technologies.

Key Roles & Responsibilities

  • Design, develop, implement, and maintain

scalable data architectures and data solutions

on cloud platforms.

  • Build, maintain, and optimize

Big Data Engineering pipelines

for data ingestion, transformation, processing, and delivery.

  • Perform hands-on development, programming, testing, and validation of data engineering pipelines.
  • Develop scalable data pipelines using

Python, Scala, Spark, SQL, and other Big Data technologies

.

  • Implement cloud-based data engineering solutions using

AWS

and other cloud technologies.

  • Work with

Snowflake

for data warehousing, data processing, and analytics requirements.

  • Design and optimize data workflows to ensure scalability, reliability, performance, and data quality.
  • Work with

SQL and NoSQL databases

for data storage, processing, and integration.

  • Develop and integrate

REST APIs and microservices

using Python frameworks such as

FastAPI or Flask

.

  • Apply data engineering best practices for data ingestion, transformation, validation, reconciliation, and error handling.
  • Work with Unix/Linux environments and scripting as required for data engineering activities.
  • Leverage

Jupyter Notebook, IntelliJ, and Anaconda

environments for development, testing, and data analysis.

  • Support implementation and integration of

Generative AI, LLM, Agentic AI, and RAG

capabilities within data engineering solutions.

  • Develop or integrate AI-enabled services and APIs using

Python and FastAPI

.

  • Collaborate with data scientists, AI/ML engineers, application developers, and business stakeholders to deliver end-to-end solutions.
  • Participate in code reviews, testing, debugging, performance optimization, and production support.
  • Follow Agile/SDLC processes, coding standards, documentation practices, and engineering best practices.
  • Stay current with emerging

cloud, Big Data, AI/ML, and data engineering technologies

.

What you need

Required Skills

3+ years of professional experience

in Data Engineering with a strong focus on

Cloud Technologies

.

  • Strong hands-on experience with

Python, Spark, Scala, SQL, and Big Data technologies

.

  • Experience designing and developing scalable

data pipelines and data architectures

.

  • Hands-on experience with

AWS Cloud

and cloud computing fundamentals.

  • Strong experience with

Apache Spark

and Big Data processing.

  • Experience with

Snowflake

and Data Warehouse concepts.

  • Strong programming expertise in

Python / Scala / Java

.

  • Experience with

Python Flask / FastAPI

for backend development and API services.

  • Hands-on experience developing

REST APIs and microservices

.

  • Good understanding of

SQL and NoSQL databases

.

  • Experience with

Unix/Linux

environments and scripting.

  • Strong understanding of

Data Engineering fundamentals, ETL/ELT, data pipelines, and data processing

.

  • Hands-on experience with development environments such as

Jupyter Notebook, IntelliJ, and Anaconda

.

  • Strong testing, validation, debugging, and problem-solving skills.
  • Good written and verbal communication skills in English.

Desired Skills

  • Exposure to

Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG)

.

  • Experience integrating

LLM/GenAI capabilities

with data engineering platforms and applications.

  • Experience with

FastAPI

for AI/ML and microservice-based applications.

  • Knowledge of AI/ML data pipelines and data preparation workflows.
  • Experience with additional cloud platforms such as

Azure or GCP

.

  • Knowledge of cloud-native data engineering services and architectures.
  • Experience with containerization, CI/CD, and DevOps practices.
  • Additional certifications or programs in

AWS, Azure, or GCP

are preferred.

Qualification

  • Bachelor's degree in

Computer Science, Information Technology, Engineering, or a related field

.

  • Additional certifications/programs in

Cloud Technologies (AWS/Azure/GCP)

are an advantage.

Key Competencies

Cloud Data Engineering | Python | Spark | Scala | Java | AWS | Snowflake | SQL | NoSQL | Big Data | Data Pipelines | Data Architecture | ETL/ELT | FastAPI | Flask | REST APIs | Microservices | Unix/Linux | Data Warehousing | Generative AI | GenAI | LLM | Agentic AI | RAG | Jupyter Notebook | IntelliJ | Anaconda | Cloud Computing

What we believe

UST values

Humility, Humanity, and Integrity

. We believe in creating an environment where people can collaborate, innovate, learn, and deliver meaningful impact for our clients and communities.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other legally protected status. We believe diversity and inclusion strengthen our organization and enable us to deliver better outcomes for our clients.

Skills

Agentic AI, LLMs, Generative AI, Python, FastAPI, RAG, Cloud Infrastructure, Scala, Data Engineering, AWS

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.

Frequently Asked Questions

How to apply for ML Engineer II at UST?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

13+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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ML Engineer II

UST · Karnataka

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