Strong background in cheminformatics concepts and toolkits (RDKit, SMARTS/SMIRKS). Proficiency with machine learning frameworks (PyTorch, TensorFlow, scikit-learn). Experience deploying applications in cloud environments (AWS, GCP, or Azure). Knowledge of modern software practices (CI/CD, Git, testing, code review). Excellent communication skills to bridge technical and non-technical teams. Nice-to-have skills More ❯
TSA). Hands-on experience with HSMs (e.g., Thales, SafeNet) and PKI platforms (e.g., Entrust, eMudhra). Experience with cloud-native KMS solutions (e.g., AWS KMS, Azure Key Vault, GCPCloud KMS). Familiarity with scripting and automation (e.g., Python, PowerShell, Terraform). Excellent leadership, communication, and problem-solving skills. What we will do for you: Competitive compensation Pension scheme More ❯
data engineering/infrastructure, with at least 5 years leading large teams. Deep expertise in distributed systems, model training infrastructure, and inference platforms. Strong experience with cloud platforms (AWS, GCP, Azure), MLOps/DevOps, and security. Excellent leadership, communication, and stakeholder management skills. Preferred Advanced technical degree (MS/PhD). Strong knowledge of data systems (SQL/NoSQL, Spark More ❯
