Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are looking for a Senior Machine Learning Engineer with a strong background in Artificial Intelligence, Marketing Analytics, and Macroeconomics to join our team working on the ROI Engine project. This role focuses on modeling the performance and ROI of marketing campaigns across media channels (including TV, Facebook, TikTok, YouTube, and others).
You’ll design and tune models that help understand and optimize marketing effectiveness across global campaigns. The ideal candidate combines deep technical expertise in AI, econometrics, and data modeling, with hands-on experience in cloud-based data systems (Azure + Snowflake) and marketing measurement techniques.
Key Responsibilities: Design, develop, and maintain machine learning and econometric models to measure and forecast marketing channel ROI.Implement and fine-tune Kalman filters, Bayesian hierarchical models, and state-space models to track and predict marketing performance.Integrate macroeconomic and market-level factors to enhance model robustness and business relevance.Work with large-scale marketing datasets on Azure and Snowflake, leveraging Python and SQL for data wrangling, modeling, and automation.Collaborate with marketing, data engineering, and analytics teams to design scalable modeling pipelines.Optimize models for accuracy, interpretability, and efficiency on Azure infrastructure.Translate model outputs into actionable insights and communicate findings to marketing and business stakeholders.Continuously improve modeling frameworks through validation, experimentation, and parameter tuning. Required Qualifications: PhD in Artificial Intelligence, Machine Learning, Econometrics, Applied Mathematics, or a related quantitative discipline.6+ years of professional experience in machine learning, data science, or econometric modeling.Proven experience in marketing analytics, media mix modelling (MMM), or ROI analysis.Strong understanding and practical experience with Kalman filters, Bayesian inference, and time-series modeling.Advanced proficiency in Python (PyMC, scikit-learn, TensorFlow, statsmodels).Strong SQL skills and professional experience using Snowflake.Expertise in Azure-based data and ML environments (Azure ML, Azure Data Factory, Azure Synapse).Understanding of macroeconomic trends and their impact on consumer behavior and marketing effectiveness.Excellent communication and teamwork skills. Preferred Qualifications: Experience with Marketing Mix Modelling (MMM), Incrementality Testing, or causal inference techniques (difference-in-differences, synthetic controls).Knowledge of MLOps best practices (model versioning, CI/CD, monitoring, and retraining pipelines in Azure).Research or applied experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.Ability to integrate AI-driven insights from LLMs into marketing analytics and decision-support tools.Background in applied research within marketing science, econometrics, or consumer analytics. What We Offer: The opportunity to work on high-impact AI and econometric projects with a globally recognized brand.Collaboration with an international, cross-functional team.Exposure to cutting-edge AI and marketing analytics, from advanced econometric modeling to modern LLM-based tools.Continuous learning and growth in both AI research and marketing data science.Long-term B2B collaboration.Comprehensive private medical insuranceor budget for your medical needs.Paid sick leave, vacation, and public holidays.Continuous learning support, including unlimited certification sponsorship.
