Key Responsibilities

- Develop and deploy AI/ML models for manufacturing resource allocation process optimization, predictive analytics, and process control.

- Build models for
- Energetic manufacturing infrastructure allocation across the portfolio for optimal outcomes in production of vaccines and therapeutics for public health impact and return on investment
- Develop AI/ML models to support regulatory dossier preparation, submission filings, and document automation
- Process monitoring and predictive maintenance
- Yield optimization and process robustness

- Process parameter optimization (CPP/CQA)
- Batch failure prediction and deviation detection
- Quality prediction and root-cause analysis
- Develop automated data pipelines, dashboards, and MLOps workflows for real-time analytics and decision support.
- Collaborate with manufacturing, process development, quality, automation, and IT teams to implement AI-driven solutions.
- Support data integrity, validation, and regulatory compliance for AI-enabled systems.

Qualifications

- MS/PhD in Machine Learning, Computer Science, Data Science, Chemical Engineering,



Bioengineering, Industrial Engineering, or related field.
- 5-8+ years of experience in machine learning, manufacturing analytics, process engineering, or pharmaceutical/biotech manufacturing.

Technical Skills

- Strong expertise in machine learning, predictive modeling, optimization, and time-series analysis (e.g., anomaly detection, sensor/IoT data, digital twins).
- Experience with knowledge graphs, vector databases, and AI agents.
- Proficiency in Python, SQL, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Experience with manufacturing/process data systems (MES, SCADA, LIMS, or historian platforms such as Honeywell PHD/AspenTech) is plus.
- Familiarity with process engineering or pharmaceutical manufacturing preferred.
- Understanding of public health priorities and the vaccines market preferred.

Knowledge of MLOps, cloud computing, APIs, and workflow automation, including real-time/edge inference for shop-floor deployment

📌 Lead-Machine Learning Engineer AI For Manufacturing (Shamirpet)
🏢 Biological E
📍 Shamirpet