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Popular early-mid ML role with metro hiring and generalist requirements drives moderate competition.
Core ML and data skills are transferable, though construction domain knowledge is a preferred plus.
Explicit 2–4 years requirement plus strong ML, statistics and programming skills enforces moderate filtering.
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Develop and optimize machine learning models to drive actionable business insights and AI-powered solutions for the construction industry.
Perform exploratory data analysis, feature engineering, and apply statistical techniques to improve model accuracy and business outcomes.
Collaborate with AI engineers, data engineers, and domain experts to translate business requirements into scalable data science methodologies and document findings.
Bachelor's or master's degree in computer science, AI, Data Science, Statistics, Mathematics, Engineering, or related field.
2–4 years of experience developing machine learning or data science solutions in a business environment.
Strong programming skills in Python and SQL with solid understanding of Statistics, Probability, Linear Algebra, and Calculus applied to machine learning.
Work Experience Required: 2–4 years in ML/data science; Notice period: Not explicitly mentioned in the JD.
Experience working end-to-end on machine learning projects with ability to translate business challenges into data-driven solutions.
Strong expertise in supervised, unsupervised, ensemble learning, and advanced model evaluation techniques including Explainable AI.
Exposure to Generative AI, Large Language Models, Prompt Engineering or Retrieval-Augmented Generation is preferred but not mandatory.