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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end machine learning projects including problem framing, data preparation, modeling, and deployment to production.
Design, build, and deploy scalable ML and AI solutions including predictive models (regression, classification, clustering, time-series) and AI agents using LLMs and related frameworks.
Translate business needs into analytical insights and communicate effectively to both technical and non-technical stakeholders, delivering projects on time with defined success criteria.
Minimum Requirements
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
5+ years of experience building and deploying machine learning models.
Proficiency in Python/R and ML frameworks such as PyTorch, TensorFlow, or Keras; hands-on experience with MLOps, Git, and cloud platforms (AWS, GCP, or Azure).
Mandatory skills include strong ML expertise, production ML system deployment experience, and data visualization skills (e.g., Shiny, Dash, Tableau).
Ideal Candidate Profile
Experienced in independently leading complex ML projects from end to end in an R&D or product-focused environment.
Comfortable working with both structured and unstructured data applying advanced analytics and deep learning techniques.
Capable of operating at the intersection of technical excellence and business partnership, effectively translating complex analytics into actionable business insights.