Meril - AI Project Manager

Description:

About the Role

As an AI Project Manager, you will orchestrate AI, computational chemistry, and engineering teams to deliver high-impact ML solutions powering physics-based simulations, molecular property prediction, and automated drug design.

Key Responsibilities:

- Own day-to-day execution of AI/ML projects across molecular modeling, target prediction, generative design, and simulation automation programs.

- Manage sprint planning, resource allocation, technical dependencies, and delivery schedules across global cross-functional teams.

- Collaborate with scientists to translate research goalssuch as improving docking accuracy or expanding force-field coverageinto executable engineering plans.

- Coordinate integration of ML models into computational chemistry platforms, APIs, and enterprise cloud environments.

- Track model performance metrics (AUC, RMSE, inference latency), scientific validation results, and release readiness.

- Conduct risk assessment for scientific feasibility, data quality, ML reproducibility, and architectural scalability.

- Ensure all project deliverables meet regulatory and scientific reproducibility standards expected by pharma clients.

- Prepare detailed project documentation, status reports, release notes, and stakeholder communications.

Required Qualifications:

- 5+ years experience managing AI/ML, biotech, or scientific software projects.

- Familiarity with computational chemistry workflows, molecular data formats (SDF, PDB, SMILES), and ML model development lifecycles.

- Experience with agile, Jira, Confluence, Git, cloud ML pipelines, and engineering best practices.