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Medium—specialized ML/product role in Hyderabad with solid employer brand and mid-senior hiring pool.
High—role requires pharma manufacturing/ERP/MES domain knowledge and regulated-data experience, reducing transferability.
High—explicit 6–10 years plus mandatory ML, GenAI, cloud, regulated-data and product-delivery skills.
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Own and deliver AI-assisted digital product prototypes end-to-end, on a ~4-week cycle, linked to specific business aim points (Cash-Flow Optimization, Revenue Acceleration, etc).
Lead business discovery and problem framing with stakeholders in manufacturing, supply chain, quality, and product development to translate into actionable digital solutions.
Manage prototype lifecycle including data sourcing, AI/ML model development, front-end application build, validation with users, and handoff to BI&T for productionization and scale.
6–10 years of hands-on experience in data science, machine learning, and digital product delivery from concept to working software.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative field.
Strong proficiency in Python, SQL, ML frameworks (scikit-learn, XGBoost, PyTorch), and experience with GenAI/LLM technologies including prompt engineering and RAG architectures.
Experience building data connections and modeling across ERP, MES, LIMS, and quality systems with knowledge of responsible AI, data privacy, model governance, and compliance with GxP/data-integrity requirements.
Technically proficient individual contributor able to independently balance AI-assisted development, statistical rigor, and product management, interfacing with senior stakeholders.
Experienced in end-to-end prototype delivery merging business analysis, data science, and software engineering in regulated environments, preferably in life sciences or pharma manufacturing/supply chain.
Strategic mindset with ability to prioritize a prototype roadmap based on business value, measure KPIs, and make data-driven build or stop decisions aligned to organizational goals.