Gcp, MLops, Incident Management, automation, Scripting Languages, Azure, Kubernetes, data platforms, cloud platforms, Monitoring, infrastructure as code tools, hybrid architectures, CI CD capabilities, Developer Enablement, Platform Engineering, reliability engineering principles

python, Test Design, IoT setup validation, model validation, QA engineering support, AI quality frameworks, QA Automation frameworks, QA strategy planning, issue triage, prompt testing, LLM evaluation

Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools

Kafka, Node.js, Software Architecture, Scalability, Rabbitmq, Terraform, Distributed Systems, Data Design, System Design, Python, Reliability, Go, Applied AI, event-driven architecture, observability

cdisc standards , Advanced Analytics, Machine Learning, SAS, Python, Sql, R

Machine Learning, scrapy, Sql, Nosql, Pandas, Numpy, Gcp, Spark, Azure, Python, AWS, scikit-learn, Ai, Analytics, R, BERT

Apis, AI tools, SaaS product experience, Security, data domains, data models, administration, platform governance, low-code or no-code platform experience

quantum information science , Python, Quantum Algorithms, Mathematical Optimization, Cirq, PennyLane, Pyomo, Qiskit, Mixed Integer Programming, Gurobi, Linear Programming

, Iso 27001, Node.js, Kubernetes, Python, Terraform, DAST, SCA, Cross-cloud Identity Management, EU AI Act, EKS, AKS, OWASP Top 10 for LLMs, Go, Serverless Security, SOC 2, GKE, Automated Threat Modeling, ISO 42001, SAST, Agentic AI

Api Integration, Cloud Computing, Agile Methodologies, CEMEA regulatory standards, Regulatory Compliance, Industry Standards, Credit and Debit Card Processing products, Product research and analysis, Compliance frameworks, Microservices architecture, Product Development and Management