Gramener — a data science and AI/analytics company — hires early-career Data Scientists / AI-ML engineers in Hyderabad / Bengaluru, working with Python, machine learning, data storytelling and Generative AI for global clients.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal before applying.
Role Overview
Location: Hyderabad / Bengaluru · Hybrid
Type: Data Scientist / AI-ML Engineer (early-career)
Experience: Early-career / freshers (2024/2025/2026 batch)
Package: AI/ML fresher CTC ~₹6–12 LPA (estimate; confirm on the official listing)
Key Highlights
- Applied ML, data science and data storytelling
- Python, statistics, ML and modern GenAI
- Hyderabad / Bengaluru; data-science & AI firm
- Structured early-career growth
Eligibility & Skills
- B.E/B.Tech/M.Sc/MCA or stats/maths degree (2024/2025/2026 batch)
- Strong Python and ML/statistics fundamentals
- SQL, data-wrangling and visualization; LLM/GenAI exposure a plus
- A Kaggle/GitHub portfolio strengthens your profile
How to Apply
Check current openings and apply on the official Gramener Careers page (also on LinkedIn). Lead with your GitHub / Kaggle portfolio.
Pro tips: for AI/ML roles, ship a real project — a trained/fine-tuned model, a RAG app, or a CV/NLP demo with documented metrics — on GitHub/Kaggle, and be ready to explain your data, approach and evaluation. A demonstrated, measured project beats listing frameworks on a resume.
How to Prepare for This Role
Build Python, ML, statistics and a project portfolio; prepare with our AI & ML interview questions and the AI/ML Engineer roadmap.
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Frequently Asked Questions
Who can apply for the Gramener Data Scientist / AI-ML role?
B.E/B.Tech/M.Sc/MCA or stats/maths freshers/early-career candidates (2024–2026 batch) with strong Python and ML/statistics fundamentals, SQL, data-wrangling and visualization, ideally with LLM/GenAI exposure and a Kaggle/GitHub portfolio.
How do I apply to Gramener for data-science / AI-ML roles?
Check current openings on the official Gramener careers page (gramener.com/careers) and its LinkedIn listings. Lead your application with a GitHub / Kaggle portfolio.