ML Engineer Adtech

Crevia Infotech; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Masscomcorp in India is seeking an experienced ML Engineer focused on User Acquisition for Mobile Gaming and AdTech. You will leverage data-driven insights to optimize campaigns, build predictive models, and deploy AI/ML solutions.

The role requires hands-on Python, SQL, and model development, with collaboration across marketing, UA, product, and engineering teams. Flexible hours with 6 PM–12 AM IST presence preferred.

Qualifications

• At least 2+ years in UA, AdTech, or Gaming analytics.
• Hands-on with UA tools and MMPs.
• Proven project implementing UA in mobile marketing/AdTech space.
• Experience in marketing analytics, campaign performance optimization, and attribution modeling.

Responsibilities

• Analyze large multi-source datasets to drive UA strategy and improve campaign effectiveness.
• Develop predictive models and A/B testing to optimize ad spend and targeting.
• Design and deploy end-to-end AI/ML solutions using PyTorch, TensorFlow, and related tools.
• Implement LTV models and cohort analysis to inform marketing decisions.
• Collaborate with marketing, UA, product, and engineering teams to translate questions into analytics.
• Use SQL to extract data and create dashboards tracking UA performance.
• Use Python for automation, ML, and data processing to improve UA campaigns.
• Coordinate with AdTech partners and MMPs for accurate attribution tracking.
• Stay updated on AdTech, gaming UA, and programmatic advertising trends.

Skills

UA strategy

Marketing analytics

A/B testing

Python

SQL

ML/AI

Attribution modelling

Gen AI

Data visualization

Communication

Tools

PyTorch

TensorFlow

LightGBM

Langchain

Langgraph

Spark ML

Job description

Role & responsibilities

Working hours: Flexible Hours (Presence from 6 PM IST to 12 AM IST is a must)

Masscomcorp is seeking an experienced ML Engineer with a strong background in User Acquisition (UA) for Mobile Gaming and AdTech. The ideal candidate will leverage data-driven insights to optimize user acquisition strategies, enhance campaign performance, and maximize return on investment (ROI). You should have hands‑on experience in Machine Learning, Gen AI Applications, Python, SQL, and statistical modelling, along with a deep understanding of marketing analytics, attribution modelling, and programmatic advertising.

Key Responsibilities:

• Analyze large datasets from multiple sources (e.g., mobile games, ad networks, MMPs) to drive UA strategy and improve campaign effectiveness.
• Develop predictive models and A/B testing frameworks to optimize ad spend, bidding strategies, and targeting.
• Designing, developing & deploying end-to-end AI/ML solutions using cutting‑edge tools and frameworks (e.g., Python, PyTorch, TensorFlow, LightGBM) alongside modern GenAI tools like Langchain/Langgraph etc.
• Implement LTV (Lifetime Value) models, and cohort analysis to inform marketing decisions.
• Work closely with marketing, UA, product, and engineering teams to translate business questions into analytical solutions.
• Use SQL to extract and manipulate data from databases and create dashboards to track key UA performance metrics.
• Utilize Python for automation, machine learning, and data processing to improve efficiency in UA campaigns.
• Collaborate with AdTech partners and MMPs (e.g., Appsflyer, Adjust) to ensure accurate attribution tracking and measurement.
• Stay updated on industry trends in AdTech, gaming UA, and programmatic advertising to recommend new strategies.
• Interact and collaborate with data engineers, Business stakeholders as and when required.

What to Expect:

• This is an individual contributor role, focused on hands‑on work.
• The role involves close collaboration with data science and ML teams, as well as development of in‑house systems.

Required Technical Skills:

• At least 2+ years of experience in User Acquisition, AdTech, or Gaming analytics.
• Hands‑on experience with AdTech platforms, MMPs (Mobile Measurement Partners), and UA tools.
• Demonstrate an a relevant project implementation in User Acquisition in Mobile Marketing/AdTech Space
• Experience with marketing analytics, campaign performance optimization, and attribution modeling.
• Familiarity with A/B testing methodologies, statistical significance, and causal inference techniques.
• Hands‑on experience in developing and deploying AI/ML solutions and familiarity with tools such as Pytorch, Tensorflow, Scipy, Sklearn etc
• Exposure to Gen AI tools and techniques such as RAG, Context Engineering, MCP, Agentic AI.
• Ability to use statistics to understand behavior of systems and/or players.
• Ability to communicate complex data insights to non-technical stakeholders.
• Must be thorough and experienced with programming in Python and SQL.
• Prior experience in Apache Spark with ML is a plus
• Team player with excellent organizational, communication and interpersonal skills.