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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and deployment of AI/ML use cases aligned with organizational goals, covering the full project lifecycle from data preparation to model deployment.
Design, optimize, and validate predictive models using classical AI/ML techniques and statistical methods to ensure scalable, measurable outcomes.
Collaborate with multidisciplinary teams and communicate technical insights effectively to non-technical stakeholders.
Minimum Requirements
6 to 7 years of hands-on Data Science experience.
Proficiency in statistical data analysis, machine learning, and natural language processing.
Advanced Python programming and SQL skills with relevant data analysis libraries.
Familiarity with MLOps basics and software development/version control methodologies.
Ideal Candidate Profile
Experienced with supervised and unsupervised learning, feature engineering, and model evaluation techniques.
Comfortable working across AI/ML model lifecycle phases including design, implementation, and monitoring.
Exposure to GenAI technologies such as LLM integration, prompt engineering, and agentic AI frameworks is advantageous but not mandatory.