SymphonyAI
Website:
symphonyretailai.com
Company:
https://www.linkedin.com/company/symphonyai
Seniority: Not Applicable
Industries: Technology, Information and Internet, Software Development, and Technology, Information and Media
Job details:
Overview
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and enterprise IT.
We are seeking an experienced Technical Consultant with specialization in Data and Integration to join our dynamic team.
Responsibilities
- Collaborate with clients and project teams to analyze business requirements and translate them into technical specifications focused on data and integration needs.
- Work with automation tools (GitHub, YAML, Helm) to package, deploy, and configure applications in Kubernetes.
- Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.
- Perform data mapping, data transformation, and data quality activities.
- Provide technical leadership on best practices for data governance, security, and integration patterns.
- Troubleshoot integration issues, optimize performance, and ensure high availability.
- Develop and review XML / JSON based configurations and data exchange schemas.
- Participate in technical meetings with clients, discussing SAML, SSO, REST APIs, and Architecture Design.
- Deploy AI/ML models as part of compliance solutions, including model endpoints and integration with existing infrastructure.
- Assist with data preparation, validation, and feature engineering for AI applications.
- Educate and train clients on how to interpret and leverage AI-powered features.
Required Skills
- 3-8 years of experience in technical consulting or implementation.
- Hands-on experience with GitHub, YAML, Helm, and Kubernetes.
- Proficiency in SQL and shell scripting (e.g., Bash).
- Solid understanding of XML, JSON, SAML, SSO, and REST/GraphQL APIs.
- Basic understanding of machine learning concepts and model deployment.
- Excellent communication skills for client-facing interactions.
Preferred Skills
- Experience with financial crime, AML, KYC, or fraud detection solutions.
- Coding experience in Python or Java.
- Understanding of DevOps, CI/CD, and cloud automation (GCP, AWS, Azure).
- Strong Linux/Unix skills.
Benefits
- Work with cutting-edge AI and cloud-native technologies.
- Flexible hybrid working model.
- Career development and continuous learning opportunities.
(ref:hirist.tech)
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