Senior Full Stack Python & ML Engineer for Custom AI Integration

Experience: 3+ Years (Experience in Ai / ML Engineering) Title: ML Engineer - AdTech(THIS ROLE IS INDIVIDUAL CONTRIBUTOR ROLE) Working hours: Flexible Hours (Presence from 6 PM IST to 12 AM IST is a must) We are 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. Here’s a quick breakdown of the key responsibilities and skills for this role: 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.