Executive, R&D Injectable (AI/ML)

Key Responsibilities Develop and implement AI/ML models for data extraction, validation, and analysis (documents, chromatograms, lab data) Build NLP-based solutions for semantic search, document processing, and structured data generation Implement AI-driven anomaly detection, trend analysis, and predictive insights Enable AI use cases across MVS, LIMS, ELN, QMS, and Excel validation systems Evaluate and validate vendor AI solutions : Verify accuracy, reliability, and performance Design validation scenarios and test datasets Review model logic and outputs Identify risks, gaps, and compliance issues Support system integration (LIMS, ELN, QMS, SAP) and data harmonization Ensure compliance with GxP, Data Integrity (ALCOA+), and 21 CFR Part 11 Support Computer System Validation (CSV) and audit readiness Required Skills Strong programming in Python Experience in Machine Learning & AI model development Knowledge of NLP (document extraction, semantic search) Exposure to OCR / data extraction from PDFs Experience with TensorFlow / PyTorch Understanding of model validation, statistics, and data analysis Basic knowledge of APIs and system integration Preferred Domain Knowledge Exposure to LIMS, ELN, QMS, SAP, or MVS systems Understanding of Method / Analytical Validation Experience in Excel validation / CSV processes Knowledge of GxP and Data Integrity Experience & Qualification Minimum 3 years of AI/ML experience Pharma / Healthcare domain preferred Degree in AI / Data Science / Computer Science OR Pharma background with AI experience Key Competencies Strong analytical and problem-solving skills Ability to evaluate and challenge vendor solutions Good communication and documentation skills Comfortable working in a regulated environment Education: B. Pharm B. Pharm - Required M. Pharm M. Pharm - Preferred Experience: 5 years or more in 5 - 8 Years Specialized Knowledge: Licenses: Amneal is an equal opportunity employer. We do not discriminate based on caste, religion, gender, disability, or any other legally protected status. We believe in fostering a workplace that values diversity and inclusion. .