Cognitive Integration Engineer

2 weeks ago

Johannesburg, Gauteng, South Africa Level-Up Full time

Overview:

You will play a pivotal role in leading integrations with our industry-leading cognitive AI platform. Serving as the client's solution provider, you will align implementation tactics with cognitive client use cases through a combination of technical expertise and effective communication. By adhering to the standard delivery lifecycle, you will ensure that client goals are not only met but exceeded.

Responsibilities:

  • Implement and configure our Conversational AI solutions into enterprise-wide client environments.
  • Ensure a thorough understanding and commitment to the end-to-end plan to achieve goals for client engagements.
  • Align permit-to-build activities with client solution design.
  • Collaborate or lead in the design of Conversational AI-based implementations.
  • Prepare and support design reviews to ensure alignment with client requirements.
  • Manage and align both customer and partner expectations regarding AI capabilities and necessary processes.
  • Deliver on assigned work streams using our standard implementation guidelines.
  • Participate in daily stand-ups, demonstrating ownership of project deliverables and adhering to a systematic and disciplined approach.
  • Continually engage with key customer project stakeholders to ensure satisfaction.
  • Coordinate closely with internal sales, support, and service resources, communicating project status and success metrics effectively.

Qualifications:

  • Proficiency in Groovy, Java, SDKs, and APIs handling.
  • Experience with HTTP/HTTPS and RESTful APIs consumption.
  • Interest in AI and Machine Learning, including NLP, classification models, and data manipulation (JSON, Grammars, Regex).
  • Theoretical and practical knowledge in classification models, supervised training, Logistic Regression, Passive Aggressive classifier, ELMO classifier, and continuous learning.
  • Strong problem-solving skills with the ability to address complex technical challenges using solution/design thinking.
  • Demonstrated leadership capabilities and the ability to communicate effectively to both technical and non-technical audiences.
  • Preferred experience with Python, SQL, RDBMSs, NO-SQL databases, and Apache Camel.
  • Experience with AI (NLP) platforms in production is advantageous.

Tool Stack:

  • Atlassian JIRA (task tracking), Bitbucket (Git version control), Confluence (project and best practices documentation).
  • Knowledge of Docker and Kubernetes is a plus.
  • Strong presentation skills, project/portfolio management, resource management, and knowledge management capabilities.

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