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AGC Asia Pacific (India) Gurgaon Hybrid
Job Description:
Optimize and automate all decision-making by using data analysis / developing software
e.g. glass defect classification AI, electronic materials demand forecasting, or chemicals supply chain optimization * Manage a data analytics engineers and projects Model deployment on cloud or on-premise. Collaborate and communicate with product, engineering, and business teams to ensure the successful integration of data models into production systems. Stay up-to-date with the latest advancements in data science and machine learning. Research and develop AI technology including academic cooperation Carry out the data analyst training curriculum A mix of office work and remote work. Business trip in the ASEAN Region and Japan, based on business needs (3-5 times a year)
Must have:
College Education (Bachelor’s Degree at least) Experience and knowledge of machine learning / mathematical optimization *Over 3 years Experience of managing data analytics team or project *Over 3 months Proficiency in programming languages such as Python/SQL. Familiarity with deep learning techniques, NLP, LLM, GenAI. Experience with cloud platforms.
Good to have:
Experience with Databricks/ Pyspark. Visualization tools such as Tableau/PowerBI. Experience with version control (e.g., Git).
Most IT Jobs posts in Gurgaon ask for 3–6 years of experience (41% of 495 that say).
From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 825 posts).
The post asks for 3 Yrs experience.
In Gurgaon (hybrid).
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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