UST
ML Engineer I
USTIndia2 days ago
Full-timeEngineering, Information Technology
Role Description

Role Proficiency:

Under guidance from Senior ML Engineers develop ML models that provides accurate results with controls to solve the business problem identified using state of art techniques.

Outcomes

  • Executes relevant data wrangling activities related to the problem in order to create dataset
  • Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
  • Fine tune the baseline model for optimum performance
  • Test Models internally per acceptance criteria from business
  • Document relevant Artefacts for communicating with the business
  • Work with data scientists to deploy the models.
  • Work with product teams in planning and execution of new product releases.
  • Set OKRs and success steps for self/ team and provide feedback to goals for team members
  • Work with cross functional teams - business technology and product teams to understand the product vision; building ML solutions that provides value to the product

Measures Of Outcomes

  • Selection of the appropriate approach to the problem
  • Number of successful deployments of the model with optimised accuracy for baseline model
  • Adherence to project schedule / timelines
  • Personal and team achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals)

Outputs Expected

Design to deliver Product Objectives:

  • Design ML solutions which are aligned to and achieve product objectives
  • Define data requirements for the model building and model monitoring; working with product managers to get necessary data

Updated on state of art techniques in the area of AI / ML :

  • Perform necessary research using the latest and state of art techniques to design scalable approaches
  • Explain the relevance of the technologies its pros and cons to the product team; enabling accurate design experiences

Skill Examples

  • Technically strong with the ability to connect the dots
  • Ability to communicate the relevance of technology to the stakeholders in a simple relatable language
  • Curiosity to learn more about new business domains and Technology Innovation
  • An empathetic listener who can give and receive honest thoughtful feedback

Knowledge Examples

  • Expertise in machine learning model building lifecycle
    • Clear understanding of various ML techniques with appropriate use to business problems
    • A strong background of 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
    • Good knowledge 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

Role : ML Engineer I Band : B1 Location : Noida

Skills

Machine Learning,Software Engineering,Automation

Key Skills

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