Description:

At Times Internet, we build premium digital products that enrich the lives of millions of users. As India’s largest digital products company, our portfolio spans News, Sports, Fintech, and Enterprise solutions, with iconic brands like TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig, and Times Mobile.

We strongly value diversity and inclusivity and proudly achieved gender pay parity in 2018, validated by Aon Hewitt. Innovation, technology, and creating meaningful user experiences are at the heart of our culture.

This role is part of the Economic Times B2B (ET B2B) business unit, a leading business media platform serving over 23+ industries and functions including Auto, Pharma, Energy, Retail, and HR. With a monthly reach of 8 million professionals, ETB2B provides curated content, newsletters, and premium events, while also powering global editions and digital-first platforms like ET Masterclass and vConfex.

The ET B2B Intent Signal Platform is an advanced initiative to transform traffic into actionable buying signals for enterprises by combining digital behavior, enrichment tools, and event-based survey data. As a Data Engineer, you will play a key role in building the pipelines, ML systems, and predictive models that drive this vision.

Key Responsibilities:

• Design and maintain robust ETL/ELT pipelines for large-scale structured and unstructured data (web, APIs, CRM, etc.)
• Create and train predictive models for buyer intent scoring using NLP and behavioral analytics
• Work with modern NLP libraries (spaCy, Transformers), ML frameworks (Scikit-learn, TensorFlow, PyTorch), and APIs (OpenAI)
• Deploy ML models to production using Docker, Kubernetes, and cloud ML platforms (AWS, GCP, Azure)
• Collaborate with backend engineers, product managers, and data scientists for model tuning and feature prioritization
• Ensure compliance with data security standards (GDPR, SOC 2, etc.) and implement monitoring of data pipeline health
• Continuously optimize pipeline efficiency and model inference for real-time analytics
• Maintain clear documentation of data workflows, models, and experiments

Key Technical Skills:

Python, ETL (Airflow, Prefect), Pandas, Dask, NLP (spaCy, NLTK, Transformers), ML (Scikit-learn, TensorFlow, PyTorch), Docker, Kubernetes, AWS/GCP/Azure ML, PostgreSQL, MySQL, Redshift, BigQuery, Snowflake, Git, CI/CD

Requirements:

• Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related quantitative field
• 2–5 years of experience in data engineering, applied ML, or software engineering
• Strong Python coding skills with experience in ML pipeline development and data manipulation
• Knowledge of supervised/unsupervised ML algorithms and NLP techniques like text classification, entity extraction, and sentiment analysis
• Hands-on experience with data orchestration frameworks and workflow automation tools
• Experience deploying ML in cloud environments (AWS SageMaker, GCP AI Platform, Azure ML)
• Ability to collaborate in Agile teams, work with version control, and communicate insights effectively
• Domain experience in SaaS, Martech, or B2B data analytics preferred