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Tier-1 employer, metro location, mid-level role with specialized GenAI requirements.
Requires specialized ML/GenAI and cloud platform experience, limiting cross-industry transferability.
Mandates 6+ years, production ML deployment experience, and specific GenAI and cloud platform skills.
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Own the end-to-end development and deployment of advanced AI and machine learning models for business challenges, including design of agentic AI architectures with prompt engineering and rule-based automation.
Collaborate cross-functionally to translate business needs into AI solutions, managing data readiness, model evaluation, deployment, and monitoring for reliability and scalability.
Incorporate emerging AI research and maintain adherence to data governance and ethical standards across deployed AI workflows, specifically supporting PT business and S4 team initiatives.
6+ years of experience in data science, machine learning, or a related field.
Proven experience with developing and deploying AI models, including using platforms like Databricks, Azure AI foundry, or Google Gemini Enterprise Agent.
Strong programming skills in Python or R.
Notice Period: Not explicitly mentioned in the JD.
Experienced in complex AI model development with knowledge of agentic AI frameworks such as LangChain and LlamaIndex and multimodal data analysis.
Able to lead AI initiatives and coordinate across multiple teams in a fast-paced environment, translating business needs to technical AI specifications.
Skilled in big data technologies (Hadoop, PySpark, Hive) and advanced machine learning practices including feature engineering, hyperparameter tuning, and predictive modeling.