Advanced Marketing AI & Data Engineer

Jobtailor; Gurugram District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Jobtailor in India is seeking a senior ML engineering lead to architect, scale and maintain the unified data engine, automating real-time ingestion from DSPs, social networks and eCommerce platforms. You will code, train and deploy models that monitor consumption velocity, flag early‑stage trend spikes and compute real‑time success probabilities for upcoming releases.

Additionally, you will implement data tokenisation and anonymisation filters to ensure cross‑border privacy compliance and build

Qualifications

• BA/BS degree or equivalent experience.
• 5+ years of professional experience in machine learning engineering, data architecture, or predictive pipeline development.
• Deep hands-on experience with production data models in Databricks; Python, SQL and API configurations.
• Experience using AI coding assistants and LLMs to speed frontend deployment and testing.
• Knowledge of data privacy frameworks and cross-border data security in regulated environments.
• Excellent verbal and written English communication and presentation skills.

Responsibilities

• Architect, scale and maintain the front-end UX and backend data pipeline for a unified data engine, automating real-time ingestion from DSPs, social networks and eCommerce platforms.
• Code, train and deploy ML models that monitor product consumption velocity, flag early-stage trend spikes, and calculate real-time success probabilities for upcoming releases.
• Build localised data tokenisation and anonymisation filters into the pipeline to ensure compliance with cross-border data regulations when extracting data from regulated markets.
• Use modern AI coding assistants to rapidly build and deploy front-end interfaces and interactive dashboards for non-technical marketing teams to monitor campaign performance.
• Build and optimise a natural-language AI briefing intake form, enabling automated gatekeeping of incomplete or non-compliant briefs alongside AI-generated brief enhancements from historical campaign data.
• Collaborate with Paid Media on automated bulk CSV configuration macros to accelerate ad deployment for strong-performing campaigns, and with Creative teams on bulk Gen AI script generation for proven creative assets.

Skills

Machine learning engineering

Data architecture

Python

SQL

LLMs / AI coding assistants

Data privacy

English communication

Education

BA/BS degree or equivalent

Tools

Databricks

APIs configurations

Job description

Responsibilities

• Architect, scale and maintain the front‑end UX and backend data pipeline for a unified data engine, automating real‑time ingestion from DSPs, social networks and eCommerce platforms.
• Code, train and deploy machine learning models that monitor product consumption velocity, flag early‑stage trend spikes, and calculate real‑time success probabilities for upcoming releases.
• Build localised data tokenisation and anonymisation filters into the pipeline to ensure compliance with cross‑border data regulations when extracting data from regulated markets.
• Use modern AI coding assistants to rapidly build and deploy front‑end interfaces and interactive dashboards for non‑technical marketing teams to monitor campaign performance.
• Build and optimise a natural‑language AI briefing intake form, enabling automated gatekeeping of incomplete or non‑compliant briefs alongside AI‑generated brief enhancements from historical campaign data.
• Collaborate with Paid Media on automated bulk CSV configuration macros to accelerate ad deployment for strong‑performing campaigns, and with Creative teams on bulk Gen AI script generation for proven creative assets.

Requirements

• BA/BS degree or equivalent experience.
• 5+ years of professional experience in machine learning engineering, data architecture, or predictive pipeline development within high‑volume tech or digital media.
• Deep hands‑on experience structuring production data models within Databricks environments, with advanced proficiency in Python, SQL and API configurations.
• Fluent in using modern AI coding assistants and LLMs to accelerate front‑end deployment and software testing cycles.
• Strong understanding of data privacy frameworks and cross‑border data security protocols, particularly when extracting data from complex regulatory environments.
• Exceptional verbal and written English communication and presentation skills.

Core Competencies

Demonstrates expertise in machine learning engineering and data architecture, with a strong focus on building and optimizing data pipelines and models. Proficient in utilizing AI coding assistants and ensuring compliance with data privacy frameworks in regulated environments.