Senior Data Scientist – AI/ML & Big Data

Jigya Software Services; Gurugram District; Hybrid; INR 1,500,000 - 2,200,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist with expertise in AI/ML and Big Data for a role focused on developing scalable machine learning models. Ideal candidates will have substantial experience with Python, TensorFlow, and cloud solutions, working in a hybrid setup to drive actionable insights and collaborate with stakeholders.

Qualifications

• 7+ years of experience in AI/ML and Big Data.
• Strong programming skills in Python and SQL.
• Hands-on experience with GCP/AWS/Azure.

Responsibilities

• Develop Big Data pipelines using Spark, SQL, and cloud services.
• Perform statistical analysis, ETL, and data modeling for insights.
• Optimize model performance and scalability in production.

Skills

Python

SQL

TensorFlow

PyTorch

Spark MLlib

Education

Degree in Computer Science

Degree in Data Science

Degree in Engineering

Tools

GCP

AWS

Azure

Job description

Senior Data Scientist – AI/ML & Big Data

Senior Data Scientist – AI/ML & Big Data

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Talent Acquisition Lead @ Jigya Software Services | Korean Language, IT Recruitment

Job Title: Senior Data Scientist – AI/ML & Big Data

Location: Gurgaon (Hybrid)

Experience: 7+ Years

Job Type: Full-Time

About the Role:

We are seeking a Senior Data Scientist with 7+ years of experience in AI/ML, Big Data, and Cloud-based solutions to design, develop, and deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, TensorFlow/PyTorch, Spark MLlib, and cloud platforms (GCP/AWS/Azure).

Key Responsibilities:

Develop Big Data pipelines using Spark, SQL, and cloud services (GCP preferred).

Perform statistical analysis, ETL, and data modeling for actionable insights.

Collaborate with stakeholders to translate business problems into ML solutions.

Optimize model performance, scalability, and efficiency in production.

Must-Have Skills:

6-8 years in AI/ML, Big Data, and cloud-based deployments.

Strong programming in Python, SQL, TensorFlow/PyTorch, Spark MLlib.

Hands-on with GCP/AWS/Azure (GCP preferred).

Expertise in ETL, data warehousing, and statistical modeling.

Degree in Computer Science, Data Science, Engineering, or related fields.

Preferred Skills:

Experience with MLOps, model deployment, and CI/CD pipelines.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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