Data Scientist - AI
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy production-grade AI and machine learning solutions with a focus on Generative AI technologies and large language models.
Optimize AI models for accuracy, scalability, efficiency, and establish evaluation and governance standards.
Collaborate with engineering, product, and business teams to deliver measurable AI-driven business outcomes and mentor peers in AI engineering best practices.
Minimum Requirements
Proficiency in Python and data science libraries such as TensorFlow, PyTorch, and Scikit-Learn.
Experience deploying AI/ML models into production environments using cloud platforms like Azure and/or AWS.
Strong statistical modeling, data analysis, and machine learning expertise applied to real-world problems.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building scalable, production-ready AI solutions especially in Generative AI and large language model platforms.
Comfortable balancing innovation with engineering discipline including CI/CD, DevOps, and model monitoring for robust deployment.
Able to bridge technical and business domains by translating complex analytical insights into actionable recommendations for diverse stakeholders.