Engineer I
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Description and Requirements
Hands-on engineer in technical design and development of AI applications using existing and/or emerging technology.
• Work closely with product managers, data scientists and other stakeholders to translate business requirements into scalable and efficient AI solutions.
• Collaborate with cross-functional teams to execute the AI technology roadmap, aligning with business objectives and industry trends.
• Stay abreast of the latest advancements in AI technologies, guiding the team in adopting best practices and cutting-edge methodologies.
• Responsible for development of AI specific software/platform components.
• Investigate and resolve production management incidents, problems, and service requests.
• Implementation of AI technology best practices, architecture and technology stack including adoption of cloud, Data, and other relevant emerging technology that is fit-for-purpose.
• Ways of Working – Adoption of the Agile ways of working in the software delivery lifecycle and continuous learning of new methods and technology
Job ID: 107484961
Skills:
Apis, Data Governance, middleware, Calculated Insights, Data Streams, Salesforce AI technologies, AI capabilities, Identity Resolution, ETL technologies, master data concepts, Agentforce, Document AI, CRM Analytics, Salesforce Data Cloud
Skills:
telemetry , power optimization , Java, C, Operating Systems, Performance Engineering, Javascript, Windows Internals, Azure, Python, Statistical Analysis, performance-analysis tools, low-level debugging, reliability engineering, experimentation, cloud data platforms, system-level development, Performance Analysis
Skills:
BigQuery, DataFlow, Python, Sql, API scripting, Airflow, Composer DAGs, Google Cloud SDK
Skills:
Application configuration and deployment processes, Cloud-based middleware and enterprise integration patterns, SAP BTP Integration Suite, Collaborating with diverse technical teams to deliver scalable solutions, Designing and implementing integration flows and APIs within cloud environments
Skills:
.NET, Prometheus, Grafana, Datadog, Nosql, Jmeter, Docker, Terraform, Sonarqube, Loadrunner, Python, AWS, Java, Bash, Amazon CloudWatch, Sql, Solarwinds, Gcp, Dynatrace, Splunk, Azure, Kubernetes, Go, MLflow, OpenTelemetry, Azure Chaos Studio, AWS Fault Injector, k6, Google Cloud Operations, ArgoCD, Azure Monitor
