Applications Developer – Data Analyst, Data Science, Python, GCP, ML

2 days ago

Chennai, Tamil Nadu, India UPS Full time ₹ 4,00,000 - ₹ 12,00,000 per year

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description
Job Title:
Data Analyst – DSML Team

Overview
We are looking for a Data Analyst to support the DSML team in advancing projects across computer vision, NLP, and LLM applications. The ideal candidate will be hands-on with data, detail-oriented, and comfortable working across data engineering and machine learning workflows.

Key Responsibilities

  • Support the DSML team by labeling objects in computer vision projects.
  • Review and evaluate retrieval quality for LLM and NLP projects.
  • Assist in data engineering tasks, including data preparation, transformation, and validation.
  • Help tune model parameters and contribute to improving model performance.
  • Collaborate with cross-functional teams to ensure data quality and project success.

Required Skills & Experience

  • Programming: Python, Pandas, SQL, Flask, Web Services.
  • Skills: Data Engineering, Machine Learning, Deep Learning, Computer Vision.
  • Tools: Google Cloud Platform (GCP), hands-on experience with Large Language Models (LLMs).
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate findings and collaborate effectively with technical and non-technical stakeholders.

Qualifications

  • Min 5 to 7 years of experience
  • Bachelor's Degree or International equivalent

Employee Type
Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

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