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UST

Lead I - Software Engineering - AI/ML Engineer

Kuala, India

5 - 7 Years

1 Opening

Trivandrum

Role description

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

Interpret the application/feature/component design to develop the same in accordance with specifications.

Code debug test document and communicate product/component/feature development stages.

Validate results with user representatives; integrates and commissions the overall solution

Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions

Optimises efficiency cost and quality.

Influence and improve customer satisfaction

Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

Adherence to engineering process and standards (coding standards)

Adherence to project schedule / timelines

Number of technical issues uncovered during the execution of the project

Number of defects in the code

Number of defects post delivery

Number of non compliance issues

On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design

Follow coding standards
templates and checklists

Review code – for team and peers

Documentation:

Create/review templates
checklists
guidelines
standards for design/process/development

Create/review deliverable documents. Design documentation
r and requirements
test cases/results

Configure:

Define and govern configuration management plan

Ensure compliance from the team

Test:

Review and create unit test cases
scenarios and execution

Review test plan created by testing team

Provide clarifications to the testing team

Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.

Learn more about the customer domain identifying opportunities to provide valuable addition to customers

Complete relevant domain certifications

Manage Project:

Manage delivery of modules and/or manage user stories

Manage Defects:

Perform defect RCA and mitigation

Identify defect trends and take proactive measures to improve quality

Estimate:

Create and provide input for effort estimation for projects

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities

Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models

Interface with Customer:

Clarify requirements and provide guidance to development team

Present design options to customers

Conduct product demos

Manage Team:

Set FAST goals and provide feedback

Understand aspirations of team members and provide guidance
opportunities
etc

Ensure team is engaged in project

Certifications:

Take relevant domain/technology certification

Skill Examples:

Explain and communicate the design / development to the customer

Perform and evaluate test results against product specifications

Break down complex problems into logical components

Develop user interfaces business software components

Use data models

Estimate time and effort required for developing / debugging features / components

Perform and evaluate test in the customer or target environment

Make quick decisions on technical/project related challenges

Manage a Team mentor and handle people related issues in team

Maintain high motivation levels and positive dynamics in the team.

Interface with other teams designers and other parallel practices

Set goals for self and team. Provide feedback to team members

Create and articulate impactful technical presentations

Follow high level of business etiquette in emails and other business communication

Drive conference calls with customers addressing customer questions

Proactively ask for and offer help

Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.

Build confidence with customers by meeting the deliverables on time with quality.

Estimate time and effort resources required for developing / debugging features / components

Make on appropriate utilization of Software / Hardware’s.

Strong analytical and problem-solving abilities

Knowledge Examples:

Appropriate software programs / modules
- Functional and technical designing
- Programming languages – proficient in multiple skill clusters
- DBMS
- Operating Systems and software platforms
- Software Development Life Cycle
- Agile – Scrum or Kanban Methods
- Integrated development environment (IDE)
- Rapid application development (RAD)
- Modelling technology and languages
- Interface definition languages (IDL)
- Knowledge of customer domain and deep understanding of sub domain where problem is solved
Additional Comments:
• AI/ML Expertise: 5+ years of progressive experience in Artificial Intelligence, Machine Learning, and Generative AI • Programming Mastery: Python (5+ years), Keras (4+ years), Pandas (4+ years) • ML Frameworks & Models: LangChain, GPT-3, GANs, Transformers (BERT, T5), LLMs,LLMOps, RAG pipelines • Time Series Forecasting: Advanced techniques including deep learning models • Databases : Vector databases, DynamoDB, Postgres • Expertise in Synthetic Data Generation and Model Augmentation • Experience with Semi-Supervised and Self-Supervised Learning Algorithms • Proficiency in Cloud Platforms: AWS, Azure, GCP • Performance Engineering for large-scale ML systems As a Lead Python AI/ML Developer, you will be at the forefront of defining and delivering complex AI-driven systems, driving innovation, technical leadership, and execution excellence. You will shape the AI/ML vision and guide the team in developing advanced, scalable solutions using the latest Generative AI and LLM technologies. Key Responsibilities • Lead the design, architecture, and implementation of end-to-end AI/ML solutions using Python, Keras, Pandas, and modern frameworks • Spearhead initiatives around Generative AI and LLMs (e.g., GPT-3, BERT, T5) to deliver intelligent, enterprise-grade systems • Oversee the development of data pipelines and engineering infrastructure using Kafka ,Big Data tools, ELK , Aurora DB • Apply advanced techniques in Time Series Forecasting, Predictive Analytics, and Deep Learning • Mentor and lead AI/ML engineers and data scientists; define best practices and ensure team productivity • Collaborate with stakeholders to understand business requirements and translate them into AI-powered solutions • Drive PoCs, model validation, experimentation, and innovation across Generative AI initiatives • Deploy and optimize machine learning models in production environments (AWS, Azure, GCP) • Ensure the responsible and ethical use of AI through proper governance, monitoring, and explainability practices • Evaluate and integrate emerging AI technologies and recommend their adoption where beneficial • Contribute to strategic planning for AI roadmaps, tool selection, and platform scalability

Skills

AI/ML,Python,ML OPS

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.

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