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Data Scientist - Senior II Job Opening In Gurugram – Now Hiring Antal International


Job description

Job Description

Job Title: Data Scientist – Senior II

Location: India (Remote)

Type: Full-Time | Senior Level

Experience: 5–7 Years

Salary: 24-36 LPA

Data isn’t just numbers—it’s insight, innovation, and the foundation of intelligent systems.

We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research.

In this role, you’ll work on high-impact problems using advanced machine learning techniques.

You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns.

If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be.

Requirements

  • 5 to 7 years of experience in Data Science or Machine Learning roles
  • Proven ability to work on end-to-end ML projects—from research to production
  • Conduct in-depth machine learning research and stay updated with state-of-the-art advancements
  • Read, interpret, and implement research papers, especially in the Generative AI domain
  • Mentor and guide junior data scientists and interns in executing real-world projects
  • Design and build machine learning and deep learning models to solve complex business challenges
  • Work collaboratively across teams to turn data into decisions, and models into products
  • Strong foundation in Statistics and Probability
  • Advanced proficiency in Python for data science and ML workflows
  • Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch
  • Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc.
  • Deep familiarity with Transformer architectures and working with Large Language Models (LLMs)
  • Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications
  • Ability to turn theoretical models into production-ready code with clarity and precision
  • Benefits

    We don’t just hire employees—we invest in people.

    We’ve designed a benefits experience that’s thoughtful, supportive, and actually useful.

    Here’s what you can look forward to:

  • Top-Tier Work Setup
  • You’ll be equipped with a premium MacBook and all the accessories you need.

    Great tools make great work.
  • Flexible Schedules & Remote Support
  • Life isn’t 9-to-5.

    Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier.
  • Quarterly Performance Bonuses
  • We don’t believe in waiting a whole year to celebrate your success.

    Perform well, and you’ll see it in your pay check—quarterly.
  • Learning is Funded Here
  • Conferences, courses, certifications—if it helps you grow, we’ve got your back.

    We even offer a dedicated educational allowance.
  • Family-First Culture
  • Your loved ones matter to us too.

    From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work.
  • Celebrations & Gifting
  • Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here.
  • Team Bonding Moments
  • We love food, and we love people.

    Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen.
  • Healthcare That Has You Covered
  • Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional.
  • Extra Rewards for Extra Effort
  • Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded.

    From incentives to bonuses—you’ll feel appreciated.
  • Check Your Resume for Match

    Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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    The Work Culture

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