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Job Description
Structured overview of role & requirementsAbout This Role
Develop, validate, and deploy AI/ML models including forecasting and recommendation systems for enterprise use.
Support and contribute to Generative AI initiatives, including prompt development, RAG workflows, and experimentation with LLMs.
Collaborate with stakeholders and engineering teams to integrate AI/ML solutions using tools like Databricks and AWS SageMaker.
Minimum Requirements
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field.
2–4 years of experience in data science, analytics, or machine learning roles (or equivalent academic/project experience).
Proficiency in Python and data science libraries (pandas, NumPy, scikit-learn); experience with SQL and cloud/data platforms (Databricks or AWS).
Work Experience Required: 2–4 years in relevant roles.
Ideal Candidate Profile
Experience supporting enterprise AI or machine learning platforms with hands-on development, testing, and deployment.
Familiarity with Generative AI models, LLM APIs, and RAG workflows to innovate AI-driven business applications.
Comfortable working in agile teams with strong collaboration between data science and software engineering disciplines.