AIML Engineer
Experience: 5 - 7 Years
Must Have Skills: Business Requirement gathering, Git, Feature Engineering, Regression, Data Analysis, AutoML (Classification, Python, Stakeholder Management)
Job Description
We are looking for an AIML Engineer with 5–7 years of Data Science experience, including at least 3 years of hands-on experience in Marketing Mix Modeling (MMM). The candidate should have expertise in developing end-to-end MMM solutions, strong Python programming skills, experience in media budget optimization, and the ability to work closely with business stakeholders to deliver AI-driven marketing insights.
Roles & Responsibilities:
- Gather and analyze business requirements for Marketing Mix Modeling (MMM) projects.
- Develop end-to-end Marketing Mix Modeling (MMM) solutions, including data processing, exploratory data analysis (EDA), short-term and long-term modeling, and optimization.
- Apply marketing concepts such as Adstock, Carryover, and Saturation while building MMM models.
- Develop and implement additive, multiplicative, and Bayesian Regression models for marketing analytics.
- Build and optimize media budget optimization solutions using Python or R.
- Perform data analysis and feature engineering to improve model performance and accuracy.
- Develop production-quality Python code by following coding best practices and version control using Git.
- Collaborate with business stakeholders to understand requirements, provide analytical insights, and deliver business-focused AI/ML solutions.
- Ensure high-quality model development, optimization, deployment, and continuous improvement of AI/ML solutions.
Pay: ₹150,000.00 - ₹1,696,066.35 per month
Application Question(s):
- How many years having Exp in Business Requirement gathering?
- CCTC?
- ECTC?
- NP?
Work Location: Remote
