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Showing 10 jobs
Skills:
Integration, Apis, Automation, Microservices, Devops, Software Development, Cloud, Agile, Scrum, GenAI, Ai, Application Modernization, Production Support
Skills:
Machine Learning, Axure, Framer, Mobile technology, Sketch, Ai, keynote, Principle, Photoshop
Skills:
Prometheus, Kafka, Elasticsearch, Kubernetes, chaos testing, ClickHouse, distributed tracing, streaming telemetry pipelines, distributed log indexing, multi-cloud infrastructure, Capacity Planning, OpenTelemetry, high-cardinality metrics engines, automated incident triage, AI ML technologies, site reliability engineering principles
Skills:
regulatory guidelines , reaction phenotyping, S9 fractions, metabolic stability, transporter assays, Methodologies, novel ADME technologies, hepatocytes, plasma protein binding, automation platforms, report preparation for IND submissions, microsomes, solubility and permeability assays, metabolite identification, In vitro ADME assays, CYP inhibition and induction studies, blood-to-plasma partitioning
Skills:
Machine Learning, scrapy, Sql, Nosql, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, Ai, Analytics, R, BERT

Skills:
Devops, Linux, Distributed Systems, Cloud Infrastructure, Python, Network Operating Systems, Go, sonic
Skills:
blackline , soc 1 , Automation, Us Gaap, Ai, IFRS, Digital Finance Capabilities, Internal Controls, Insurance Accounting, SOC 2 Reports, IFRS 17, IFRS 9, SAP S/4HANA, Analytics, Regulatory and External Reporting Requirements, Audit, Process Standardization, Accounting and Reporting for Financial Instruments, Technical Accounting, Finance Transformation, ASC 944, Sox Compliance, Governance Frameworks
Skills:
react.js , containerization , Golang, PostgreSQL, Node.js, API design, Sql, Microservices, Redis, Nosql, Gcp, MongoDB, Azure, Nestjs, AWS, Testing, Distributed Systems, System Design, System Monitoring, Agile Software Development, event-driven architectures, Next.js, Ai, code reviews, frontend architecture, data sharding, performance optimization, ML frameworks
Skills:
containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks
Skills:
software engineering practices , Incident Response, Coding Standards, Operational Excellence, Generative AI, Prompting, Full Software Development Life Cycle, AI-assisted Development, AI Strategy and Prioritization, Evaluation and Inference Optimization, Cost and Latency Tradeoffs, Foundation Models, Agents and Tool Use, Testing and Operations, Orchestration Infrastructure, AI Leadership, Fine-tuning, AI-assisted Coding Review, Build Processes
