Specialist I - ML Engineering

Bangalore, Karnataka
Permanent
Full-time

1 month ago

Job Description:Role Proficiency:Design develop and deploy ML models that provides accurate results with controls to solve the business problem identified using state of art techniques. Working under minimal guidance from Specialist II ML Engineering. Collaborate with cross functional teams - business technology and product teams to understand the product vision to ensure end to end deployment.Outcomes: * Identify and formulate business problem to AI / ML related problems. Identify and communicate AI Scope with stake holders

Execute relevant data wrangling activities related to the problem
Conduct ML experiments to understand the feasibility; building baseline models to solve the business problem
Fine tune the models for optimum performance
Test Models internally per acceptance criteria from the business
Identify areas and techniques to optimize the model based on test results
Work with product teams in planning and execution of new product releases.
Set OKRs and success steps for self/ team and provide feedback of goals to team members
Identify metrics for validating the models and communicate the same in business terms to the product teams.
Keep track of the trends and do rapid prototyping to understand the feasibility of using in existing solutions
Visualise and build more complex models / solutions which address scalable solutions
Work with product teams in planning and execution of new product releases
Mentor junior data scientists to help delivery of their solutions
Drive multiple ML Solution Design Development and End to End Deployment
Conduct Code Reviews and Solution Reviews of team members and provide constructive feedback to make solutions more robust
Work with multiple product design and product management teams; identifying design interventions of ML Models

Measures of Outcomes: * Selection of appropriate algorithms for the business problems

Successful deployment of the model with optimised accuracy for baseline model
100 % Adherence to project schedule / timelines
Personal and team achievement of 100% of quarterly/yearly objectives (OKR Assignments HIG stretch goals) Publish internal testing observations and refine the model to achieve 100% of business objectives
Independently or with help of product team / ML Specialist identify business metrics and the corresponding model metrics.
Number of areas identified for improving the model using new technologies so product / feature improves.
Scalability of the ML solutions for complex problems
No gaps in requirements gathering and converting it to AI scope.
Work with cross functional team of stakeholders to deploy the model
Number of reusable components which enable faster deployment of solutions.
Number of end- to-end successful deployments

Outputs Expected:Design to deliver Product Objectives: * Design ML solutions which are alignedand achieve product objectives * Understand the business requirements and formulate into an ML problem

Define data requirements for the model building and model monitoring; working with product managers to get necessary data
Define the data requirements for the problem
Define the AI scope and metrics from the product and business objectives

with guidance from Lead II * Check the validity of the training data and test data requirements from a performance standpoint and take necessary actionsUpdated on state of art techniques in the area of AI / ML : * Perform necessary research using the latest state of art techniques to design scalable approaches

Explain the relevance of the technologies

its pros and cons to the product team to enable appropriate design experiencesTechnology Innovation : * Convey innovation in the way of problem solvingpublish the work in leader boards or as patents * Identify reusable componentsSkill Examples: * Technically strong with the ability to connect the dots

Ability to communicate the relevance of technology to the stakeholders in a simple and relatable language
Ability to select appropriate techniques based on the data availability and set expectations on the overall functionality of the solutions
Understanding of the limitation of the current technology define the AI scope and metrics
Curiosity to learn more about new business domains and Technology Innovation
An empathetic listener who can give and receive honest thoughtful feedback
Ability to abstract problems across multiple projects and design reusable assets

Knowledge Examples:

Expertise in machine learning model building lifecycle
Clear understanding of various ML techniques and the appropriate use to business problems
A strong background in Statistics and Mathematics
Expertise in one of the domains – Computer Vision Language Understanding or structured data
Experience in executing collaboratively with engineering design user research teams and business stakeholders
Experience with data wrangling techniques preprocessing and post processing requirements for ML solutions
Aware of the techniques in validating the quality of the data
Experience in identifying the testing criteria to validate the quality of the model output
Expertise in python and deep learning frameworks like Tensorflow Pytorch Caffe
Familiar with the machine learning model testing approaches
A genuine eagerness to work and learn from a diverse and talented team

Additional Comments:7+ years of experience in machine learning, with a focus on forecasting, optimization, and causal inference. 3+ years of experience in big data processing and cloud-native infrastructure. Proficiency in Python, SQL, and ML libraries such as scikit-learn, Prophet, and optimization tools. Experience with Azure, Databricks, Docker, Kubernetes, and FastAPI. Strong understanding of retail domain including assortment planning, inventory optimization, and promotional analytics. Proven track record of deploying real-time ML systems and delivering measurable business impact (e.g., 3–5% sales lift).Skills:Machine Learning,Forecasting Models,Machine Learning Algorithms,PythonAbout Company: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.

UST

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