Developer III

3 - 5 Years

2 Openings

Bangalore, Hyderabad, Kochi, Trivandrum

Role Proficiency:

Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering

Outcomes:

• Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements.

• Code debug test document and communicate product/component/features at development stages.

• Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.

• Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models

• Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles

• Identify the problem patterns and improve the technical design of the application/system

• Proactively identify issues/defects/flaws in module/requirement implementation

• Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions

Measures of Outcomes:

• Adherence to engineering process and standards (coding standards)

• Adherence to schedule / timelines

• Adhere to SLAs where applicable

• Number of defects post delivery

• Number of non-compliance issues

• Reduction of reoccurrence of known defects

• Quick turnaround of production bugs

• Meet the defined productivity standards for project

• Number of reusable components created

• Completion of applicable technical/domain certifications

• Completion of all mandatory training requirements

Outputs Expected:

Code:

• Develop code independently for the above

Configure:

• Implement and monitor configuration process

Test:

• Create and review unit test cases
  
  scenarios and execution

Domain relevance:

• Develop features and components with good understanding of the business problem being addressed for the client

Manage Project:

• Manage module level activities

Manage Defects:

• Perform defect RCA and mitigation

Estimate:

• Estimate time
  
  effort
  
  resource dependence for one's own work and others' work
  
  including modules

Document:

• Create documentation for own work as well as perform peer review of documentation of others' work

Manage knowledge:

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

Status Reporting:

• Report status of tasks assigned

• Comply with project related reporting standards/process

Release:

• Execute release process

Design:

• LLD for multiple components

Mentoring:

• Mentor juniors on the team

• Set FAST goals and provide feedback to FAST goals of mentees

Skill Examples:

• Explain and communicate the design / development to the customer

• Perform and evaluate test results against product specifications

• Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models

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

• Perform and evaluate test in the customer or target environment

• Team Player

• Good written and verbal communication abilities

• Proactively ask for help and offer help

Knowledge Examples:

• Appropriate software programs / modules

• Technical designing

• Programming languages
• DBMS
• Operating Systems and software platforms
• Integrated development environment (IDE)
• Agile methods
• Knowledge of customer domain and sub domain where problem is solved

Additional Comments:

3–5 years of professional experience in machine learning or computer vision. Strong knowledge of object detection and image processing techniques. Proficiency in training deep learning models using PyTorch or TensorFlow. Experience with real-world image datasets, including handling noisy or inconsistent data. Familiarity with model evaluation and basic hyperparameter tuning. Exposure to deploying models via APIs or to edge devices. Technical Skills Programming Languages: Python (required) Basic C++ or Shell scripting (nice to have) Frameworks & Libraries: PyTorch, TensorFlow, Keras OpenCV Scikit-learn, NumPy, Pandas Tools & Platforms: Git, Docker (basic usage) Labeling tools: CVAT, Label Studio, or Roboflow Cloud experience (AWS, GCP, or Azure – basic to intermediate) FastAPI or Flask (for simple ML model APIs) ONNX, TensorRT (basic understanding)

Python,Machine Learning,Artificial Intelligence

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.