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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, build, and deployment of machine learning and data science solutions to drive business growth and client experience improvements.
Develop and operationalize ML models using AWS SageMaker and other cloud/on-prem tools including Snowflake, Adobe, Salesforce.
Shape and deliver Generative AI capabilities leveraging frameworks like LangChain/LangGraph, and contribute to MLOps best practices and team mentorship.
Minimum Requirements
4–7 years of experience in data science focused on delivering advanced machine learning solutions.
Strong skills in ML model development for classification, forecasting, and recommender systems using Scikit-learn, TensorFlow or PyTorch.
Experience deploying models on AWS SageMaker and proficiency with SQL and data manipulation.
Familiarity with GenAI patterns (prompt engineering, embeddings, vector search, RAG) and frameworks like LangChain or LangGraph for AI workflow orchestration.
Ideal Candidate Profile
Experienced in translating complex business challenges into scalable AI solutions through close collaboration with stakeholders and technical teams.
Skilled at operating in cloud and hybrid environments with a focus on production reliability, governance, and monitoring of AI systems.
Educational background preferably in engineering, mathematics, or economics from a Tier 1 institution with demonstrated hands-on problem-solving ownership.