Advanced Marketing AI & Data Engineer at Maker Lab

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning Engineering, Data Architecture, Python, SQL, API Configuration, Databricks, LLMs, Data Privacy Frameworks, Predictive Pipeline Development, Front-end UX Development, Data Tokenisation, Automation

Industry

Marketing Services

Description

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production. Job Summary: We're looking for an Advanced Marketing AI & Data Engineer to support one of our amazing clients in the music and entertainment industry. You'll be at the forefront of AI-powered marketing innovation, building intelligent solutions that transform complex audience signals into meaningful insights. Combining machine learning, data engineering, and automation, you'll help teams across APAC unlock new opportunities, make smarter decisions, and create deeper connections with fans. Role: 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. You: 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. Contract Type: 12-months Fixed Term Contract Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email. If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

Responsibilities

Architect and maintain a unified data engine and backend pipelines to automate real-time ingestion from various digital platforms. Develop and deploy machine learning models to monitor consumption trends and create AI-powered tools for marketing teams.