Data Engineer

LS Digital Group; Navi Mumbai; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A leading technology firm in Navi Mumbai is seeking an experienced Data Engineer to design and operationalize advanced AI and ML solutions on Google Cloud Platform. The ideal candidate should have 3+ years of experience, strong skills in data science, machine learning, and proficiency in tools like Vertex AI, BigQuery, Docker, and Kubernetes. This full-time position requires a Bachelor's or Master's in a related field and offers an opportunity to work in a dynamic, collaborative environment.

Qualifications

• 3+ years of hands-on experience in Data Science or Machine Learning Engineering.
• Strong proficiency in Python and related ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Proven expertise with Vertex AI, BigQuery, GCS, Docker, and Kubernetes.

Responsibilities

• Design, train, and deploy ML, DL, and Generative AI models using Vertex AI and BigQuery.
• Build and maintain scalable data pipelines and production-grade ML systems.
• Perform advanced statistical and exploratory data analysis.

Skills

Data Science

Machine Learning Engineering

Python

Docker

Kubernetes

Vertex AI

BigQuery

CI/CD pipelines

Education

Bachelor’s degree in computer science, Statistics, Data Science, or related field

Tools

TensorFlow

PyTorch

GCP

BigQuery

Job description

We are seeking an experienced Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, develop, and operationalize advanced AI/ML and Generative AI solutions. The ideal candidate is a full-stack data scientist who thrives across the entire ML lifecycle from data exploration and model development to scalable deployment and monitoring using modern MLOps frameworks.

Key Responsibilities

• Design, train, and deploy ML, DL, and Generative AI models using Vertex AI, BigQuery, and other GCP services.
• Build and maintain scalable data pipelines and production-grade ML systems using Docker, GKE, or Cloud Run, integrated with CI/CD and monitoring frameworks.
• Perform advanced statistical and exploratory data analysis to extract actionable business insights.
• Partner with cross-functional teams to translate business objectives into robust, data-driven AI solutions.
• Stay current with the latest developments in GenAI, LLMs, and MLOps best practices, continuously improving model performance and scalability.

Required Skills & Qualifications

• 3+ years of hands‑on experience in Data Science or Machine Learning Engineering.
• Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field.
• Proven expertise with Vertex AI, BigQuery, GCS, Docker, and Kubernetes.
• Strong proficiency in Python and related ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Practical experience with LLMs, fine-tuning, and Generative AI workflows.
• Familiarity with CI/CD pipelines, model versioning, and performance monitoring tools.

Preferred Qualifications

• Google Cloud certifications, such as Professional ML Engineer or Data Engineer.
• Experience with Azure ML or multi-cloud environments.
• Knowledge of Terraform or other Infrastructure-as-Code (IaC) tools.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

Business Consulting and Services

Referrals increase your chances of interviewing at LS Digital Group by 2x