ML Engineer II

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 aCloud Data Engineer with strong experience inData 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 toGenerative 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 maintainscalable data architectures and data solutions on cloud platforms.
• Build, maintain, and optimizeBig 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 usingPython, Scala, Spark, SQL, and other Big Data technologies.
• Implement cloud-based data engineering solutions usingAWS and other cloud technologies.
• Work withSnowflake for data warehousing, data processing, and analytics requirements.
• Design and optimize data workflows to ensure scalability, reliability, performance, and data quality.
• Work withSQL and NoSQL databases for data storage, processing, and integration.
• Develop and integrateREST APIs and microservices using Python frameworks such asFastAPI 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.
• LeverageJupyter Notebook, IntelliJ, and Anaconda environments for development, testing, and data analysis.
• Support implementation and integration ofGenerative AI, LLM, Agentic AI, and RAG capabilities within data engineering solutions.
• Develop or integrate AI-enabled services and APIs usingPython 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 emergingcloud, 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 onCloud Technologies.
• Strong hands-on experience withPython, Spark, Scala, SQL, and Big Data technologies.
• Experience designing and developing scalabledata pipelines and data architectures.
• Hands-on experience withAWS Cloud and cloud computing fundamentals.
• Strong experience withApache Spark and Big Data processing.
• Experience withSnowflake and Data Warehouse concepts.
• Strong programming expertise inPython / Scala / Java.
• Experience withPython Flask / FastAPI for backend development and API services.
• Hands-on experience developingREST APIs and microservices.
• Good understanding ofSQL and NoSQL databases.
• Experience withUnix/Linux environments and scripting.
• Strong understanding ofData Engineering fundamentals, ETL/ELT, data pipelines, and data processing.
• Hands-on experience with development environments such asJupyter Notebook, IntelliJ, and Anaconda.
• Strong testing, validation, debugging, and problem-solving skills.
• Good written and verbal communication skills in English.

Desired Skills

• Exposure toGenerative AI (GenAI), Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG).
• Experience integratingLLM/GenAI capabilities with data engineering platforms and applications.
• Experience withFastAPI for AI/ML and microservice-based applications.
• Knowledge of AI/ML data pipelines and data preparation workflows.
• Experience with additional cloud platforms such asAzure or GCP.
• Knowledge of cloud-native data engineering services and architectures.
• Experience with containerization, CI/CD, and DevOps practices.
• Additional certifications or programs inAWS, Azure, or GCP are preferred.

Qualification

• Bachelor's degree inComputer Science, Information Technology, Engineering, or a related field.
• B.E./B.Tech in Computer Science, IT, Engineering, or equivalent qualification preferred.
• Additional certifications/programs inCloud 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 valuesHumility, 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.