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    Job · 12697089

    REMOTE · FULLTIME

    ML Engineer Adtech

    Crevia Infotech logo

    Crevia Infotech

    Remote · onsite · Posted 62d ago

    Sourced fromNaukri
    Undisclosed5–7 yrsfulltimeRemote

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    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.Heres 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.





    Sourced from naukri

    Section · 02

    Skills

    gamingGamesADTECHMachine Learning

    ML Engineer Adtech · waiting for your command