Showing posts with label Fresher Friendly. Show all posts
Showing posts with label Fresher Friendly. Show all posts

Sunday, August 24

EY GDS – Data & Analytics (Campus): Data Scientist / ML Engineer – Kolkata (Freshers Eligible)

August 24, 2025 0

EY GDS – Data & Analytics (Campus): Data Scientist / ML Engineer – Kolkata (Freshers Eligible)

Company: EY (Ernst & Young) – Global Delivery Services (GDS) · Business Area: Consulting – Data & Analytics · Job ID: 1627653 · Location: Kolkata, India

Last checked: August 24, 2025

EY GDS is hiring Campus Hires for Data Scientist / Machine Learning Engineer roles in the Data & Analytics team. Ideal for students and recent graduates with strong fundamentals in ML / DL / Generative AI, hands-on projects, and proficiency in Python / R and frameworks like TensorFlow / PyTorch. You’ll contribute to building state-of-the-art AI solutions, collaborate with stakeholders, and ensure responsible AI practices.

Role Overview

  • Design and build AI/ML solutions to derive insights from large datasets.
  • Analyze patterns and trends; develop predictive models and generative AI use cases.
  • Engage with stakeholders to define goals; align solutions to business requirements.
  • Follow data privacy, security, and AI ethics guidelines; define evaluation metrics.

Key Responsibilities

  • Contribute to the design and build of cutting-edge AI systems.
  • Collaborate with domain experts / clients; tailor GenAI solutions to specific needs.
  • Research and evaluate advanced AI techniques and model architectures.
  • Define metrics for quality, coherence, and relevance of model outputs.

Requirements (Campus / Intern & Entry-Level)

  • Bachelor’s/Master’s in Engineering or related fields (Data Science, AI/ML, Statistics, Economics).
  • Minimum one academic project in Data Science / Machine Learning; strong semester track record.
  • Knowledge of ML, DL, Generative AI; proficiency in Python / R, TensorFlow / PyTorch.
  • Good to have: Exposure to AI cloud platforms, Git coding standards, contributions to AI forums.

Quick Summary

RoleCampus – Data Scientist / Machine Learning Engineer (D&A)
CompanyEY (GDS Consulting – Data & Analytics)
Job ID1627653
LocationKolkata, India
EligibilityStudents / Freshers (Campus); Intern track also listed
Core SkillsPython/R, TensorFlow/PyTorch, ML/DL/GenAI, Data Science lifecycle
Apply on EY Careers Tip: Tailor your resume to keywords from the JD for better ATS match.

FAQs

Is this open to freshers?

Yes. This is a Campus opportunity suitable for students and recent graduates with relevant projects.

What tech stack should I know?

Python/R with TensorFlow/PyTorch, plus solid ML/DL/GenAI fundamentals and end-to-end DS lifecycle.

Where is the role based?

Kolkata, India. Always verify location on the official listing before applying.

Source: Official EY job page. Always confirm details (eligibility, location, timelines) on the apply page before applying.

For more fresher & internship opportunities (IT, analytics, AI/ML), bookmark this site and follow our LinkedIn page for daily alerts.

Wednesday, August 20

AceMyTravel – Full Stack Software Engineer (Paid Internship, Remote)

August 20, 2025 0

AceMyTravel Hiring: Full Stack Software Engineer (Paid Internship, Remote)

Company: AceMyTravel (AMT)
Role: Full Stack Software Engineer – Paid Internship
Work Mode: Remote · 6 days/week (up to ~10 hrs/day; occasional Sundays)
Posted on: August 20, 2025

AceMyTravel (AMT) is building the “Google for Travel Rewards.” Our mission is to help people unlock the true value of their credit card points and travel smarter, better, and cheaper. With AI at the core, AMT turns scattered points, programs, and complex redemption rules into a simple, personalized booking experience.

About the Opportunity

This is a ground-floor role. You’ll be among the first engineers, shaping the product, stack, and engineering culture. You’ll ship fast, work across frontend and backend, and own features end-to-end with direct exposure to the founders.

Quick Overview

TitleFull Stack Software Engineer (Paid Internship)
LocationRemote
Schedule6 days/week, up to ~10 hours/day; sometimes Sundays
TeamEarly-stage, founder-led; high autonomy & ownership
DomainTravel-tech · Rewards Optimization · AI-powered experiences

What You’ll Do

  • Own features across the stack—APIs, services, and user interfaces that feel like “magic.”
  • Translate complex rewards logic into simple, high-quality user flows.
  • Write clean, scalable code; ship quickly while maintaining a strong quality bar.
  • Work closely with founders; influence roadmap and technical direction.
  • Debug, optimize, automate—find problems and solve them end-to-end.

Who Thrives Here

  • Builder mindset: You decompose complexity and craft elegant solutions.
  • Startup DNA: Scrappy, self-directed, and comfortable without a playbook.
  • User-first: You think from first principles and obsess over UX.
  • Fast learner: You grasp finance/compliance/AI concepts quickly.
  • Velocity + Quality: Move fast without sacrificing craftsmanship.

Team Culture

  • Autonomy & Ownership: Real impact—your work ships to users.
  • High-performing team: Camaraderie, clear standards, accountability.
  • Transparent feedback: Celebrate wins, learn from misses.
  • All hands on deck: No “that’s not my job.” We do what it takes.

Compensation

Paid internship. Specifics will be shared during the selection process.

How to Apply

Apply using the official form (opens in a new tab):

👉 Apply Now – AceMyTravel Application Form

Alternate link (if the above doesn’t open): Google Forms (Alternate)

FAQs

Is this role remote?

Yes. It’s fully remote with a high-ownership environment.

What is the weekly schedule?

Six days a week, up to ~10 hours per day; there may be occasional Sunday work.

Do I need prior experience with travel rewards?

No. You should be able to learn complex concepts quickly and build user-friendly solutions.

What kind of candidate fits best?

Product-minded full-stack builders who ship fast, communicate clearly, and care deeply about UX.

Author Avatar
By Pavan – Career Guide
Curating real, early-stage opportunities for ambitious builders.

#FullStack #RemoteInternship #StartupJobs #TravelTech #SoftwareEngineering #FresherFriendly